{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "[2019-06-16 17:43:03.751] [trace] SQLITE3: c:\\stock/stock.db\n",
      "[2019-06-16 17:43:03.753] [info] Loading market information...\n",
      "[2019-06-16 17:43:03.756] [info] Loading stock type information...\n",
      "[2019-06-16 17:43:03.758] [info] Loading stock information...\n",
      "[2019-06-16 17:43:06.617] [info] Loading KData...\n",
      "[2019-06-16 17:43:06.624] [info] Preloading all day kdata to buffer!\n",
      "[2019-06-16 17:43:15.068] [info] 8.45064s Loaded Data.\n",
      "Wall time: 12.6 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive.interactive import *\n",
    "iodog.open()\n",
    "#use_draw_engine('echarts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 一、策略分析\n",
    "\n",
    "## 原始描述\n",
    "\n",
    "买入条件：周线MACD零轴下方底部金叉买入30%\n",
    "\n",
    "卖出条件：日线级别 跌破 20日线 卖出50%持仓\n",
    "\n",
    "\n",
    "## 策略分析\n",
    "\n",
    "市场环境：无\n",
    "\n",
    "系统有效性：无\n",
    "\n",
    "信号指示器：\n",
    "- 买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入（快线：DIF，慢线DEA）\n",
    "- 卖出信号：日线级别 跌破 20日均线\n",
    "\n",
    "止损/止盈：无\n",
    "\n",
    "资金管理：\n",
    "- 买入：30% （不明确，暂且当做当前现金的30%）\n",
    "- 卖出：已持仓股票数的50%\n",
    "\n",
    "盈利目标：\n",
    "\n",
    "移滑价差：\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 二、实现系统部件\n",
    "\n",
    "## 定义信号指示器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNextWeekDate(week):\n",
    "    \"\"\"获取指定日期的下一周周一日期\"\"\"\n",
    "    from datetime import timedelta\n",
    "    py_week = week.datetime()\n",
    "    next_week_start = py_week + timedelta(days = 7 - py_week.weekday())\n",
    "    return Datetime(next_week_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DEMO_SG(self):\n",
    "    \"\"\"\n",
    "    买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入\n",
    "    卖出信号：日线级别 跌破 20日均线\n",
    "    \n",
    "    参数：\n",
    "    week_macd_n1：周线dif窗口\n",
    "    week_macd_n2: 周线dea窗口\n",
    "    week_macd_n3: 周线macd平滑窗口\n",
    "    day_n: 日均线窗口\n",
    "    \"\"\"\n",
    "    k = self.getTO()\n",
    "    if (len(k) == 0):\n",
    "        return\n",
    "    \n",
    "    stk = k.getStock()\n",
    "    \n",
    "    #-----------------------------\n",
    "    #计算日线级别的卖出信号        \n",
    "    #-----------------------------\n",
    "    day_c = CLOSE(k)\n",
    "    day_ma = MA(day_c, self.getParam(\"day_n\"))\n",
    "    day_x = day_c < day_ma  #收盘价小于均线\n",
    "    for i in range(day_x.discard, len(day_x)):\n",
    "        if day_x[i] >= 1.0:\n",
    "            self._addSellSignal(k[i].datetime)\n",
    "\n",
    "    #-----------------------------\n",
    "    #计算周线级别的买入信号        \n",
    "    #-----------------------------\n",
    "    week_q = QueryByDate(k[0].datetime, k[-1].datetime.nextDay(), kType=Query.WEEK)\n",
    "    week_k = k.getStock().getKData(week_q)\n",
    "    \n",
    "    n1 = self.getParam(\"week_macd_n1\")\n",
    "    n2 = self.getParam(\"week_macd_n2\")\n",
    "    n3 = self.getParam(\"week_macd_n3\")\n",
    "    m = MACD(CLOSE(week_k), n1, n2, n3)\n",
    "    fast = m.getResult(0)\n",
    "    slow = m.getResult(1)\n",
    "    \n",
    "    discard = m.discard if m.discard > 1 else 1\n",
    "    for i in range(discard, len(m)):\n",
    "        if (fast[i-1] < slow[i-1] and fast[i] > slow[i]):\n",
    "            #当周计算的结果，只能作为下周一的信号\n",
    "            self._addBuySignal(week_k[i].datetime.nextWeek())\n",
    "         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义资金管理策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DEMO_MM(MoneyManagerBase):\n",
    "    \"\"\"\n",
    "    买入：30% （不明确，暂且当做当前现金的30%）\n",
    "    卖出：已持仓股票数的50%\n",
    "    \"\"\"\n",
    "    def __init__(self):\n",
    "        super(DEMO_MM, self).__init__(\"MACD_MM\")\n",
    "        \n",
    "    def _reset(self):\n",
    "        pass\n",
    "    \n",
    "    def _clone(self):\n",
    "        return DEMO_MM()\n",
    "        \n",
    "    def _getBuyNumber(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.getTM()\n",
    "        cash = tm.currentCash\n",
    "        \n",
    "        #可以不用考虑最小交易单位的问题，已经自动处理\n",
    "        #num = int((cash * 0.3 // price // stk.atom) * stk.atom)\n",
    "        return int(cash*0.3/price) #返回类型必须是int\n",
    "    \n",
    "    def _getSellNumber(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.getTM()\n",
    "        position = tm.getPosition(stk)\n",
    "        total_num = position.number\n",
    "        num = int(total_num * 0.5)\n",
    "        return num if num >= 100 else 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 三、构建并运行系统\n",
    "\n",
    "## 设定系统参数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#账户参数\n",
    "init_cash = 100000 #账户初始资金\n",
    "init_date = Datetime('1990-1-1') #账户建立日期\n",
    "\n",
    "#信号指示器参数\n",
    "week_n1 = 12\n",
    "week_n2 = 26\n",
    "week_n3 = 9\n",
    "day_n = 20\n",
    "\n",
    "#选定标的，及测试区间\n",
    "stk = sm['sz000001']\n",
    "start_date = Datetime('2017-01-01')  #如果是同一级别K线，可以使用索引号，使用了不同级别的K线数据，建议还是使用日期作为参数\n",
    "end_date = Datetime()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建系统实例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建账户\n",
    "my_tm = crtTM(datetime=init_date, initCash = init_cash, costFunc=TC_FixedA())\n",
    "\n",
    "#创建系统实例\n",
    "my_sys = SYS_Simple()\n",
    "\n",
    "#绑定账户\n",
    "my_sys.tm = my_tm\n",
    "\n",
    "#绑定信号指示器\n",
    "my_sys.sg = crtSG(DEMO_SG, \n",
    "              {'week_macd_n1': week_n1, 'week_macd_n2': week_n2, 'week_macd_n3': week_n3, 'day_n': day_n}, \n",
    "                'DEMO_SG') \n",
    "my_sys.sg.setParam('alternate', False)\n",
    "\n",
    "#绑定资金管理策略\n",
    "my_sys.mm = DEMO_MM()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 运行系统"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "iodog.close()\n",
    "q = QueryByDate(start_date, end_date, kType=Query.DAY)\n",
    "my_sys.run(stk, q)\n",
    "\n",
    "#将交易记录及持仓情况，保存在临时目录，可用Excel查看\n",
    "#临时目录一般设置在数据所在目录下的 tmp 子目录\n",
    "#如果打开了excel记录，再次运行系统前，记得先关闭excel文件，否则新的结果没法保存\n",
    "my_tm.tocsv(sm.tmpdir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、查看资金曲线及绩效统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cgUwuAAAA2uY4jr8V72Z5ndxuxBXI5AIAAKAtjuPoHXc/oKO//BkVTHvTj5etFLnpeOeL3AiZXAAAALTjb792Tl8+OSdJWsybm368XCWukIx2I65AJhcAAABt+MdHL/ofZ4vWph8vV+xeJ7caV6DIBQAAQAuO4+jY6TmNptyNG3KlzccVcmb3pitUF56RyQUAAEALz01nNZ8z9aprpiR1qpPrPkaqG5tBkMkFAADAWo6ddrO4r7rWLXI70snt4pzcKJlcAAAArOWRs4saSUZ18/4RSdUZt5vhLTzrSieXTC4AAADWMrNc1N6RhDIJtyDtSFyhZCsSMhSLdL7E80aI0ckFAABASwt5UyPJqNKVaEG22Jm4QjeiClK1k/vpJy52bPOKbqLIBQAA6IHFnKnRVNSPFuQ6FFfoRlRBqmZy//yB0/qpjz/Sla/RSRS5AAAAPbCQL2k0GVMsElI0bPi7lW1GtmQr1YUZuVK1kytJy4XGgvzyUkH//sx0V772RlDkAgAA9MBCpZMruQvFcqtkcv/s/lP68wdOr/mY+S7GFbxMriQdmUw33P6ev3hY3/tHX+nIzm2dQJELAACwxQqmraJV1kilyM3EI1pZJZP78596Qv/9bx9f83Gzxe7FFYKd3Ga87u7DL8x35euvF0UuAADAFlvIud3O0WRMkjvXtp1MruOsPtkgb3avk+tlcqXm+eEX7RmSJB07RZELAAAwkBbyJUmqxhXikbYyubPZ0qq3Z4uW0l3q5AbjCs0mQXi3PlTZ5KLXKHIBAAC2WLWT6xa56Vh41Uyu5/RsbtXb8yVbyS51cveNJvV/f+gVOnporGknt2CWJUlfO7Mg0y535RzWgyIXAABgi3lF7khg4Vk7ndwzc6sXudmS7c/d7YY7rprQaCratJObN91jBbPs//16iSIXAABgiy36cQU3k5uJh1vueBbM4bbXye1OXMGTikX8grbmaweOFZrcvtUocgEAALZYfVwhFY+0XHhm2oEidy7b8jHtsqOSXVYi2t3yLhVrXpAXA4VtsyJ4q1HkAgAAbLGFvKlo2PAnIaRj4Zbb+gYLxtU6uSXLzcHGIt0uciPKNYlW5E3b/9r5DmxssVkUuQAAAFtsIWdqJBmTYbgzCbwIgF1uHBHmXfofTUX1tTMLurRUaPqYfpEb7m55l46HlS1ZDePM8qat8Ur8olkRvNUocgEAALbYYr6kscqiM8ktHKXml/m9ruj3f91h2WVHf/XgmaaPWapMNIhvQSfXcarTFDwFs6yxdKzyMUUuAADAwFkuWErHqwvEvI+bZV29wve6PUN65TWT+qsHzzTdFMIrcrsdV/AK8mxdhrhQsv3CnUwuAADAAMqXancm8z5uVuR6l/4T0bDeeNNenVvI67npxgVoW5nJlaRcXYa4YNl+J5dMLgAAwACq3343GXU/ro8AuMds/z6vvGZSknTfs9MN96tmcrs3J1eqFuQ5s1qQm3ZZpu34mVw6uQAAAAMob9pKRKvFaNwrcq3WmdxkLKwrxlM6NJHSfSdmGu63dZ1cr+vcOBd3O2VyuzstGAAAAA3yJdvv3kqBTm6L0VzB+9x59aT+9qvnZJcdhUOGf7+S7d6v+5ncSlyhZOn0bFYhw/ALdj+TS1wBAABg8NTHFRKrdXJNu+Y+Lz4womzJ1rn5fM39ils0QizYyX3vJx7TL/zdE37nNhOPKBo2iCsAAAAMonzJVqKmyPU2UVglk1u5/9W7MpKkE9PLNffbqrhCOlbt5C7mTc3nStVucyysRDTckSL38XOLWsybG/58ilwAAIAtZJcdFa1y87jCKnNyvQ7q1VNDkqRnL63U3G+rNoNI+SPEbBUtW/mSXbM4LhkNbzqu4DiO3vyB+/T2P/jShh+DTC4AAMAW8grCdccVIu59RlJRTQ3FdeJyXZG7VXNyK53cfMlS0SrLKjt+UZuIhpWMbb6T602ZeKaukF8PilwAAIAtVL+QTKoWuc06oHnTVjwSUiiwyOzqqYyerS9ytyiu4J13tmj7OeBC5f+JDnVyl4vVmEL9Art2EVcAAADYQsGup8fL5HpFY1ChZPt5XM81uzN67vJKzc5n5hZ1ckMhQ8loWNmipaLpxhX8MWfRzmRyg+PJ/vXJi7qwmF/l3i3Oc1NnAAAAgHXJ+3GF6gX1WDikkNG8k5urGzcmSYcn0louWprPVTueW5XJldwFZgXL7eTmSpYfwUhEQ0rFwpuekxvc+e0/feRhvfvPjq37MShyAQAAtlDO39yhWoYZlVmzTReemY1Fbrqy+CvYMS1uUVxBcju2uZJb5JYd+VMQkrFKXKFyXo+cWVC57Kz2UE0tF2q3N378/OK6H4MiFwAAoMt+77MndGomK6l5XMH7c7PL/IW63dGCnxssir2FZ/EtKHLj0VBNITqXLbnnFQkrEXMzuScur+gtv/dFfeapS+t+fK+T+xOvvVbffMs+OU5td7cdFLkAAABdtJAr6Tc//bTe+aEHJAWnK9Su/09Gw/5UgaC82ZjJ9QrZmiJ3C+MKiUi4ZoatV+R6ndyCWda5BTdH+8Jcbt2Pv1IpaN98y1696ea9kqTnptc3aYEiFwAAYAt4+dlcqXG6guR2R5uOECvV7o7m3tf9c3ChWskqKxIyaqYwdEsyFtZSkyI3Hgn5cYWZ5aIkabry//XwitxMPOJvflE/F3gtFLkAAABdZFUyqcVKAdtshJj350LTEWLlxrhCpElcwSpvSR5XcheY1XdyE9GQDMNQMhZWrmRpZsUtbi8tFdb9+NlAkXtoIqVo2NAJOrkAAADbh10pcr31V/m6bXo9iWi4aSd3LlvUUKI22hD3Ro4F4g0le+uK3GQ0rIVcbZHrFe2JSlzB6+BeWqrt5P7rk5d0zxMXV338laIlw3A3zIiGQzo8kV53J5fNIAAAALrIqpsukC+5Xcr6ItedWFC7uOrcQl6Xlop68f6RmuNeJ7do1XZyo1uQx5XcuERwkdyl5YIycbes9Irds/N5/7ag9//rMyrZZb3+xj0tH3+laCkdi8gw3OjFLVeMNnxv1kKRCwAA0EW2XV/kut3X+rhCIhrSXLZ24dlDp+YkSUcPjzfcV1LNQrWSVd6SRWdS47kv5EwdnkhXbnPP4cy8u+DscqCT6ziOzszllK3M1q2PYXiyRcsvmiXpt95+y7rPkbgCAABAF1nl2sI1b9qKRUINW9XGm8zJPXZ6XqlYWNftGWq4r1TbyS3a5S0ZHyZVi+ygyUxMUrVDfaYyVWGlaPkLyeZzppaLlsqOdOJy6/jBStHyZwFvFEUuAABAF9lN4gr1nVDJGyFWW+Q+dGpetx0cVaSuQ5uINHZyza1ceBZpPP/xtFvkDieikqSlguVPhbhcWXx2ejbr3/+pC0stH3+laCtTeZyNosgFAADoooZMbpMdzCS3O1oIjASbz5b01MUlvawuquDet/lmEFu28CzWeP4Tmbgk6aWHxvxj1+8dllRdfBacmXv84nLLx18pmMrQyQUAANi+gp3cv/3qOX3h2ZmGubeS28nNB0aIfem5WTmO9MprJhvu68US6ufkblUmt1mWdqLSyd01nNBkpeC9cZ9b5F6uLD57YdYtcq/dndHxi607udmirXRsc0vHKHIBAAC6KNjJ/fG/+pouLBb8TG2QN0LMcdz733diWkPxiG45MNpw30g4pEjI8Du5z0+vqLilc3Ibz98rbCXp+r1uhviaykYO3qSFF+Zy2j0c1w17h3VqpvVOaCtFS5kERS4AAMC2ZZcbt+ptlkdNRMNyHLc7u5gz9fmnp/WKqyYa8rjB+xfMss7M5fQNv/15HTs9v6WbQdSbqCw8k6Rve+kBSdK1u4e0ayiukzNuFvfUbFYHx1OaGoprZqXoF/T1VuqmK2wERS4AAEAXmXbzQq6e1x29vFTUG37n33VxqaC3V4rFZuKRkIqWrcvLBXm1Yi9GiA1VilFv4ZkkveXW/brvZ16t26+c0JHJtE7NZPUPj57Xg6fm9fIj45rMxFW0yv7UhSDHcRpGiG0ERS4AAEAX1U9XeMut+/SxH76j4X5ed/QjXz6ti0sFffQHX7HqhgleJ3e5UC0UexFXGE27UxCCcQVJOjCWkiQdmUzruekVve9vH9dLDo7qx77hWv++MyulhscuWmVZZUdpilwAAIDtq366wtteckAvP9I4McHrjv7RfSd128FR3XHVxKqP63Vye1PkVr/OaNLt4I6lYk3ve2QyrfmcqYWcqXfdeUSxSEiTQ16RW2y4f66y+C7dZHHeelDkAgAAdFF9Jnci3bwY9LqjVtnRd91+aM3HjTfp5G7dZhDuuUbDhtLxsEaS0ZYF9uFJdyc0w5C+7ip3UsSU18ldbixyve2Cm40pWw+KXAAAgC6y6jK54y2KXK9A3T+a1Ftv27/m4yaiXifX9I9Ft3iEWDwSVjoWqVl0Vu/KSpF7475h/+8+OeT+v1kn1xuj1mrL33ZtLuwAAACAVdVnclsVubdfOaGffN21+r6vO9yw5W8z8UhIxfpM7hYvPItHQvqRu67SUqDQrndwIqVULKzXvGiXf2w8FZNhSNNNMrneWLRmG2asB0UuAABAFwUzualYuGWHMhOP6L98wzVtP24iGtZctlTTya3P/3ZLIlDkHm2yI1tQPBLWp3/8Vdo1XF2YFgmHNJ6KNe/kdiiuQJELAADQRcFObqsu7kYkImEVTFvLgTFc87nGzmg3+J3cNrutV4ynGo5NZuLNM7mlznRyyeQCAAB0UbC72mrR2UbEoyEVrdq4wnyudWygk7zpCptZ6DY51LyT68UVNpvJpcgFAADoIsuuTlcY60Ynt2D6WdyFLerkBuMKGzWZiTedk8t0BQAAgD5gdSuuEOjkvvTQmJvpfU37md7N8IrbeGTjheiVkxmdnc/p3EK+5vi27OQahrHbMIyvVj7+sGEY9xuG8b7A7Q3HAAAAdjIvk2sY1V3AOsGdk+tuBrF7OK7Hf+kNeu0Nuzv2+KsxDEOJaEjx6MZLyW996X45kv7qKy/UHN+umdzfkpQ0DONtksKO49wh6UrDMK5pdqzDXxsAAGDb8Tq5f/+f79QPv+rKjj1uIhKqbAZhaigR7djjtisZDW8qrnBgLKW7rp3SXz54Ro5T7XbnzbL/+JvRsSLXMIzXSMpKuijpLkkfq9x0j6Q7WxwDAADY0bwdz45MppWOd26wlTfZYD5nKpPY+oFZiWh4U3EFyZ0NfHm56G/lK1UzuZvdva0jRa5hGDFJ/13SeyuH0pLOVT6ek7S7xbFmj/VuwzAeMgzjoenp6U6cHgAAQM94ndx2NnhYj2ARONSDIvcVV07o1itGN/UY3nmvBMagFUxbiWhIoU1+vzr1HXmvpA86jrNgGIYkrUhKVm7LyC2mmx1r4DjO3ZLulqSjR49uzURjAACALrEr2/pGOlzkBhdm9SKu8P7vuHXTj+Gd93LB1O7hhCQ3k7vZqILUubjCayW9xzCMz0m6VdI3qxpHuEXSKUnHmhwDAADY0brVyQ0WucM96OR2gtfJXSrUdnI7UeR25DviOM6rvI8rhe63SPqCYRj7JL1R0iskOU2OAQAA7Gh22VE4ZKhytbtjxlLV7m2mg1nfreQV58ENLfKmrcQmZ+RKXZiT6zjOXY7jLMldaPaApFc7jrPY7FinvzYAAMB2Y5bLHe/iStJdL9qlH3rlEe0dSeja3UMdf/ytEIwreAqmrcQmF7RJncvkNnAcZ17VaQotjwEAAOxktu10PI8rufGHn3vTDfq5N93Q8cfeKkMtOrmb3e1MYsczAACArrIqcQU08mIWK8Eid5stPAMAAEATdtlRNEzJ1Uw6FpFh1MYV8mZ501v6ShS5AAAAXUUnt7VQyFAmHmmcrkBcAQAAYHuzy+WuZHJ3iuFEtDaTW7KVjG6+RKXIBQAA6CI6uasbSkRqpytYZHIBAAC2PbvcnekKO0UmHmno5G7LObkAAACoopO7uqFERMtFU/PZkt79Zw+paJU7MieXIhcAAKCLLLusSIiSq5WhRFQrBUtfPjmne568JEksPAMAANjubDq5q3IzuZbOzOX8Y2RyAQAAtjmr7CgSpshtZagyXeH0XNY/Nr1c3PTjUuQCAAB0EZ3c1Q0lIirZZT17aUUjyaiaI/azAAAgAElEQVQk6fYrxzf9uJFNPwIAAABasmxHUTK5LQ1XCtsnzi/p6180pf/9nbfJMDb/poDvOAAAQBfRyV3dyw+7XduVoqWD46mOFLgSRS4AAEBXWeUymdxVXLs7oysn05KkQ+Opjj0uRS4AAEAX0cldnWEY+sab9kiSDnawyCWTCwAA0EUWO56t6Z23H9SFxYJuPTjascekyAUAAOgiOrlrOzCW0vu/49aOPiZxBQAAgC4y2fGsJ/iOAwAAdBGd3N6gyAUAAOgiMrm9QZELAADQRTbb+vYERS4AAEAXWWVHYTK5W47vOAAAQBfZxBV6giIXAACgiyy7zMKzHqDIBQAA6CI6ub1BkQsAANBFVtlRmIVnW44iFwAAoIsYIdYbFLkAAABd4jhOZTMISq6txnccAACgS+yyI0l0cnuAIhcAAKBLrEqRy3SFrUeRCwAA0CVeJzfKwrMtR5ELAADQJdVOLiXXVuM7DgAA0CVkcnuHIhcAAKBLrHJZEpncXqDIBQAA6BI6ub1DkQsAANAlls10hV6hyAUAAOiShZwpSRpJRnt8JoOHIhcA0FSuZGm5YPb6NIC+NrNSlCRNDsV7fCaDhyIXANDUK/7nv+nmX7yn16cB9LXpSpE7laHI3WoUuQCAppYKVq9PAeh7Xid3IhPr8ZkMHopcAJuWK1n+CmIAQNXMckmpWFipWKTXpzJwKHIBbIpddvTKX/+sPvbQmV6fCgBsOzMrRU0SVegJilwAm5IrWZrNlnRmLtfrUwGAbcctcokq9AJFLoBNyZdsSVLBLPf4TABg+3AcR6dmsnRye4iACIBNyXlFrmX3+EwAYPv4l8cv6kc++rAk6ejh8R6fzWCikwtgU/JmpcgtUeQCGExLBVOLudqZ0s/PZP2P6eT2BkUugE2hkwtg0P23jz+q9/zFwzXHlvLVopdMbm8QVwCwKWRyAQy6U7NZzWZLkqTPPX1Zv/npp3VwPNXjswJFLoBNyZXcDQPyxBV2LMdxZBhGr08D2LbmsiVNLxdVMG39/Kee0AtzOZ1byOslB0f16hft0re+5ECvT3EgEVcAsCl+Jpe4wo5lsdEH0FK57Giu0sU9t5DXoQm3g7uQM3VkMqMf/YZrlI7TU+wFilwAm0JcYeczbX62QCtLBdN/I3huPq/9o0n/tv2jiV6dFkSRC2CT/IVnJp3cncq06eQOisWcyXN5nWZWSv7HZ+fzNVuc7w0UvNh6FLkANsWPK/TRC2PBtHV6Nrv2HSFJsujkDox3fOgB/eo/PdXr0+grsytF/+Oz8zn/30RJ2keR21MUuQA2xV941kdF7vd8+Mv6+t/8nMpkTdtCJndwnJnL6bFzi70+jb7iTVUwDLeTG3zDv2+EuEIvkYQGsCn5ktvl65dOrl129OCpeUlulm40xfzKtZDJHQyWXdZK0dKp2VyvT6WveEXu1VMZnZ3PKRkL6+B4St/6kgO6airT47MbbHRyAWxK3nQ7uQWzLMfZ/h2/r5yc8z+er9uhCM1ZZHIHwnLBfS7PZUtayJXWuDc8Xlzh+r3DurRUVL5k69BESj/22msUCjF6r5cocgFsSi4wH7dobf+O32eeuuR/7I39weqs8vb/uWLzlgrVN30nZ8ist2t2paTRVFRjqaiyJUu5kq1ENNzr04IocgFsUrDI7YfIwvRydZHIPEVuW0oWndxBsBjYhvYUCzPX9OylZf3AnzyoP3/gtCbSMWUSEa0ULOVNW0mK3G2BIhfApgQL236YlbtStDSccJcjzKwUdf9zs/7iOTRHJ3cwLOWrz4OT0xS5q7Hssr7j7gf02acvS3IXnGXiUVllRws5kyJ3m6DIBbApwU5uP0xYWClYOljZkegvHzyj7/zQA7rxFz6tF1hs05I3J/fE5RW9608e1HKBLPNO5HVyQ4Z0kufDqs7M5zWXLemX3nKTbt4/onfdeUSZuFvYLuZNJWMUudsBRS6ATem3uMJSwdSe4aQiIcMfleQ40nPTKz0+s+3Lm5P74fue173HL+uTD5/r8RmhG7wid+9IkijPGp69tCxJumnfsP7+R+/Uz3zjdcokqgOryORuDxS5ADYlX6pe/u+HIteLK4ylYzU7Ey3RnWzJm5M7NeTO/HycOao7RsG09cN//pCem17xnwO7huN98VzupROVN8VX76qOCMvEo/7HxBW2B4pcAJuSK9kaT7uzZn/nM8/qHx+90OMzWt1K0VImEdFYyn1BOlyJLizlWxe5c9mSnrqwtCXntx15c3K9mMKXA2PY0N/Ozuf06Scu6cvPz2kxbyoSMjSeivVF9KiXTlxa0Z7hhIYS1cI2E692cpMxyqvtgJ8CgE3Jm7bGKkXu55+Z1nv+4uEen1FrjuNopWBpKBHRWGUTiBv3jUiSlgqtF5998LMn9D0f/sqWnON25GVyvUvYL8zlyDDvEF7cKFu0tJQ3NZKMKhELU+Su4cT0Sk0XV5KGAnEFOrnbA0UugE3Jl2yN98muYQWzLKvsKBOP+kXuVbsyikdCq3ZyZ7MlzWWLfbHZRTd4mdzg5hmn51h9vxN4Re5y0dJipchNRsMq9sGklF4plx2duNxY5KZrOrlsKLsdUOQC2LCS5RaNXid3u1suukVappLJlaQrxpIaTkZXzeQuFyyVnf7Y7KIbzEomdz5X0v7RpCRpgd3idgSvY5utFLlDyagS0VBDJ/fkTFbv+YuHyerKHT2YK9m6cipdc7wmrkAnd1ugyAWwYflKF2iiT4rclUokYTiQyT04ntJwIlIzI7Th8yrF8UpxMOfpep3cuWzJf2Fn29edIR+MKxQsv5NbX8x+6bkZ/eOjF3TiMlNILiwWJLlTKIJq4gpkcreFjv0UDMMYMQzjnw3DuMcwjL8xDCNmGMaHDcO43zCM9wXu13AMQH/yRg5NZuL+sdFUtNXde265UuRm4hH/nA9NpNfs5HrFbXZgi9xqJvfIpFvkztPJ3bZMu9x2tCYfiCss5U0NJyJKRt1MbvAxvDeB0yvFpo8zSKpFbqLmeDwSUiRkSGKE2HbRybca3yXptx3Heb2ki5LeISnsOM4dkq40DOMawzDeVn+sg18fwBZ7Yc5dfHTN7mo2LRbevh0Mr1jNxCP61pcc0B9890u0Z8RdIb1aJtfrAA9aJzdcecE2y2UVLVvZkq1dQ3ENxSOap5O7LeVLto7+8mf06ScutXX/nNm48CweDcupi+d4bwKnlyhyLy25Re7u4doi1zAMf1YucYXtoWOvRo7jfNBxnH+t/HFK0ndL+ljlz/dIulPSXU2OAehT3uKja3cP+cfype2b2fM6uUOJqEZSUX3jTXslufGF1aYrVDu52/fv1g1hwy1yLdvxM7ijqZhGUlEyudvUbLaoxbypM3PtTb/IV7a0XinULjyTVLP4zHsTSCfX7eRGw0bTmFa6suCMHc+2h463XAzDuEPSmKQzkrxtceYk7ZaUbnKs/vPfbRjGQ4ZhPDQ9Pd3p0wPQQadnc4pFQtoT6Gjk6i5zbifenNdgdk6SG1dYpZPrFcfZ0mB1ckOVVwjTLmuuMj5sPB3TWCpGJ3eb8t6Ilez2FknmS+79LiwWZJUdjadjfoEWXHzmvQmcXqbIvbiY1+7hhEKVKx1BQ3Ryt5WOFrmGYYxL+oCkd0lakeSlsjOVr9XsWA3Hce52HOeo4zhHp6amOnl6ADrs9GxWV4wlFQoZikXcp7Nddtp+gd1qwbhC0HDCzeQ2K85LVtm/bDtomdxIpco1bcefkTuWimmUTu625S2SbHcSSM50f6fPL+YlSROZmBJR9+deU+RW3gReXi507Fz7xbOXlvXTH39El5YKes9HH9aj5xZr3tgHef+2UORuD51ceBaT9HFJP+s4zmlJx1SNI9wi6VSLYwD61OnZnA5NuAuRnvnlN+oXvvkGSds3suBlazMNndyITNtRocls0GBhO2hFrpfJteyyv9DM6+QyXWF7WvE6uW0Wud5z1Xt/N5aK+QVaoaaTW4krDGAn93c+86w+fuysfvJjX9M/PnZBz09ntWekRZFb+bclQVxhW+jktOIfkPQSST9nGMbPSfpjSd9jGMY+SW+U9ApJjqQv1B0D0Iccx9ELczm94soJ/1iq8g97tmRrNNWrM2ttuWgpEQ0pWrc4briyNedywWzI0gUXm60MWCa3EsnVPz1+UbOVLOZYKqqxVNQveh3HkWE0XrZFb3hv5NZb5Hom0nHNZN2fdfNO7uAVud5EkS+emPWP0cntD51cePb7juOMOY5zV+W/P5W70OwBSa92HGfRcZyl+mOd+voAttbMSkm5kq1DE9Vq1tvlJ79Ns6vLBatmr3nPcNI91myM2HJgQVpuwDq5XnfvqQtLms+V9PaXHtBkJq6RVExLBVNFy9Ydv3qv3vS7X9D5hXxvTxaSqlcbSnZ7b8hydfNwxzOBTm6JTK5UvaIRVG6x7CATjygaNhreSKM3uvpTcBxn3nGcjzmOc3G1YwD6jzdGJzgrMlV5ccxt07jC7EpRQ/HGC1jDlUuMi002hKjp5G7T4r1bghnlXUMJ/ebbb1EoZGgsFZXjSM9cXNHFpYKeOL+kD9x7oodnCo/3+9puJ7dQ91wdD8YVrNpObiRkKFeyBy62E8w3//hr3cmnr7p2sul9r909pKumMk1vw9Zjc2UAG+ItLosHLst5cYXtVuR+9vhl3Xv8su558pK+8+UHG25frZPrLeSRBi+TG1yHF5xIMZZyRyc9eaF6Me7J81yY2w68Ite025twEnyuJqNhJWNhfyMDb/JCwbRVtMq6ciqt56ezurxc1JEmbxZ3Ki+b/Nbb9usHX3ml/strrmk6WUGS3nXnEb3rziNbeXpYxeD8lgLoKK9TFA9clvNHD22zIvcX//4JnZ7N6bXX79YvfssNDbdPVXY/u7jYuHI8GFcYtDm5wTJpOBDz8Ha1e+L8kiTprhdN6YHnZ2WXnaaXdrF1suvs5AbjCuOVua9eJzdbtPSnXzqlpy64P+cX7R7S89NZnZnL+TnVQVC0bE0NxfX+77i116eCdSI0AmBDzEonNxqp/jOSqmRyt1snN1u09M7bD+oPv++o4pHGBSH7R5NKx8I6XnkxD/I6Y2Op6MB1csuBVm6wk+sVQ4+edbu3r7lulwpmWadns1t7gmiwXPkdbXeEWKFkK115czqRcX+uiZj7nP61fzmuX/i7J/SXD56RJH+R6eOVrv2x03P+1t47WdEsKx6hXOpH/NQAbIjXKQpu41udrrC9isFcyV51tXMoZOi6vcN66sJyw23eavXdw4lt9/fqtlZF7pVTGRmG9MjZBY2monrJwTFJ0vGLjd8/bK3qwrP25+RODblXMrwYihdX8DYA8VwxntTB8ZQeO7uouWxJ3/r79+u9n3i0U6e+bRUs2/+eoL9Q5ALYEL+T26TI3U5xBcdxlDdt/9xauW7PkJ66uNSwIcRK0ZJhSFND8YEbIVabya3GFTLxiK6ayshxpH0jSV29K6OQoaadcGytalyhvd/VfMn2i9yJuriCJN0RGBE4nIjq5gMjevTsoh4/53ZzB2GqRtEs+xtkoL/wUwOwId7l0Ng2jysUrbIcZ+295K/fO6zlgqWz87Uv2ssFS5l4RJl4ZODiCq0WnknSi/ePSJL2jSaUiIZ1aCKt56aJK/Ta8gbm5HpFrhdDiYZDfrb6mt3VSQHDyahevH9E5xby+vwz05LUMpt7ciarX/nHJ1VuNWurjxQsu2nMCdsfRS6ADfFWbwfjColoSIaxvebkegV3ao3LjdfvHZZUveT+uacv697jlzRTGTuWjkcGb06ugnGF2vnCNx/wilx3p/bJTKzh8ja2nhepaSeu4DiOcqatXUMJ/2pF8DZJNTt7eZ1cSfrrY2clSeFQ8zLiX5+8qA994aSmV/p/rm6BTm7fYroCgA0pNenkGoahZDS8rTq5ucqLvtdlbuXqymzLUzNuN/I//smDfifzTS/eq0w8UjMzdxCUV+nk3ry/tsgdS8X0wlxuy84NzWXXsa2vd5VjaiiuP/r+l+klV4z5t3k/+z3DCf3oa67WB+49odFUVC87PK4jk2mdrDxPWl3d8DrKywVTu1vsDtYvipatkWTjJjLY/nhrAmBDvExurG7VcSoWbthFqZe8fPBae8kPJyOKhUP+lqaZSlH8Y99wjd7/7bcqFQsrW7IbMrs7WauFZ5Lbyf2WW/bpNdftkuQWuXRye289cQXvuZGKhfXqF+3SSKqxkNszktBPvu5aPf3L36hENKxoOKSfev2L/NtbLcb0zmOp0P9vDOnk9i9+agA2xHsRjYZr56ImY+FttfAsb7YXVzAMQxOZmGaWSyqXHWVLlv7zq6/WT7zuWsUiIaViYdllp+1V6ztBsJ4frosrxCNh/e533qZrdw9JksbSMS3kzIF6E7AdrWdOrvdmdLVFmXtHkjIMoyaT+k0379EHvvM2vfjASMurNt7GKss7oMgtWrYSZHL7EkUugA0pterkRrfXAq1cae0Xcs9kJq7ZbFErJUtlp7rpgVT9e7a7k1S/qy9Wh5Orxz3G01GV7LKy2+gNzqCx7LL/pq6dN2P+VY5V3gDuaRI1MAxD33zLPnesXhtxhX5XMMuK08ntS/zUAGyI38mtW3iSiof9F9rtwHshX2u6guQunppZKWox574wDwdyeN6oNLPNVev9rr4hW7/wrJ43Y3WeyELPBN9gtLMZRDWu0PoNzGrPm3Ssdf5+eQd1cgsm0xX6FUUugA0p2WVFw0bDHu4T6Ziml7fPiupcGy/knolMXDPLJX8Xp9FkYyd3UOIK5boqtz6TW88vcnMUub3idVVHklE/M7+aYmWW7kZ380qvMlbPW6S5sgOK3KJVZjOIPsV0BQAbYlrlmo0gPPtGk/ryybkenFFzXld5tR3PPF5cwSvURpp0ctudP9rv6sebrtnJrcxYZfFZ7zxyZkGSu0318Ytrb8zRbEKK519+/JUqmKv/rqfjkTUXnvV7XKFcdlSy2Na3X/FTA7AhJbvc9MVx/2hSywXLX3jSa97M3nbjCqbt6MycuyHEaKU7KVW7XYPSyQ3OyJXcS9Or8TYSoJPbG5Zd1m/d87SumkrrdTfsVtlxj62m1GTXQs91e4Z16xWjq35+KhZWwSzLbrLhw06ZruDFPujk9ieKXAAbYtqtO7mS9ODJOT3w/OxWn1aD9S48k6TnplckNe/ktnMZeCeoz+QahtH8jhVjlUV689nt8eZm0Bw7Pa/nprP6sdde67+hW+sNWbMNXdYj7e9wWFvIOo6zYzK5m410oLf4qQHYkKJVbvriuH/MLXJ/4E8f0jvufmCrT6uBV+S2G1eQqkVuzXSFAYsrrHcS2HAiqpBBJ7dXLiwWJEk37Rtu+3e11azrdqXi7nOqfvFZ0Sr7BXS/xxW8yAad3P5EJhfAhpi207S7sb/SyfWUy07D4rStlDdtxSOhts5hIuNecn9uekXxSKjmhS0aGaxOrrfw7P/7puv07lddteb9QyGDDSF64NxCXp84dta/0rBrOFFdJNlmkVs/67pdmbhbQqwULe0OHA92b/t9l0Cvk8tmEP2JIhfAhpQsu2lcYSoTVzRs+J2cbMlac9FSN+VLdltRBanayT0zl9euoXjNbV53rJ3RTDuBV+Qaar8AGkvH6ORusZ/95GP692emdfTQmNKxsDLxiF/krvW7WrRaZ3Lb4U0syRVrO7nB7m2/xxW8Ti4jxPoTb00AbEjJar7wLBQytHek2s3t9cKTXMlua3yY5C6e8orZ0botTmMRt9gbmM0gKv9fI4pbY/dwXM9eWmHXsy0UqVyhePTconZXNm5od5HkZuMK3mLE+gkLXmGbiUd2QFyBTm4/46cGYENM22l5mTMYWejmi9x9z87oT754ctX75E2rrckKkhQOGbrjqglJtYvOJCkWrizmGZBOrlP5a6614CzozS/ep2cvr+jhF+a7dFao511xKFll7Rp2P247k7vZTm68ceHZYt7UUxfc8WX7RhN938llukJ/o8gFsCGtOrmS9O0vO6A7rnSLxaV8517kTLuscmBc0V8++IJ+994Tq35Obh1xBUl67Q1uunB2pfaye9Tv5A5GkevFFdYTp/6WW/YpE4/oz+4/3aWzQr3gJh1eJ7f9TK5Tc//18ju5gbjCu//sIb33k49JkvaOJDWbLek3/uX4ttrqez28Ti7TFfoTPzUAG1JqMUJMkt562wH97DddJ0layneuk/ua//U5/fGXTvl/XsybWsiVagrfevmSva4uzGuv3yVJOjWbrTk+cNMVKv8PraOTm45H9N2vOKRPfe28/s/nn9PTF5e7c3LwBTds8Ipcf+OStufkbmzhWbrSyQ0WsF85Vd0Ixhsn+MHPPad/euxCy8dZLpj67NOX/Q7wdlKNK9DJ7UcUuQA2ZK1dgIYri806tSlE0bJ1Zi6vZy9VC6fFvKmys/rilry5vk7u3pGkfuSuq/Th73tZzfF2C4edwl94ts765ydfd61efmRcv/rPx/X//N4Xm24UgM7xijCpGl3wOrPmGm/IvDds0dDm5uRmAyPEXrR7yP9470jC//i+EzMtH+cD957Qf/zjB/WW3/tizd9nO6jGFSiX+hE/NQAbYrbY8cwzXMm0dqqTu1h5nODq/WbH6q03riBJP/ON1+nV1+2qORZv8xLwTuGtHVtPJldyC6yP/uDt+uFXXam8aXe0k49GBauxk+s9L0/P5VYd4WXaZUVCxoZH/HlZ96cvLmmh8hwMvuEMXun54omZlldcLi25M35LVlkXK/N+t4tqXIFObj9ihBiADVktriBVs4Kdmq6w5Be01aJpIVctcg8r3fTz8iVbyejm/6kbvB3PvBFi6xcNh3TDvmFJ0lyupLF0bI3PwEblA11Uv8it/K7+7Ccf0/ELS/qlt9zU9HNb7VrYLq+Y/thDZ/XwCwv6m//36zS9UtQbb9qj19+4W99w/W4loyElY2H9zCce0/GLy/7vRdBC4Dl9fiGvw5PNn8u94HVy43Ry+xI/NQAbYrbY8cwTDYeUioU33cn78vOzKpi237VdrLwglsuOH4UIvkjWy5WsdXdym2l3Mc9O4TXd1pPJDRpLuYXtPJtDdFXRsjWciOjooTG9aI8bFQjGiJ660DoXbdrOhheded72kv36ppv36ORMVu/95GMqWWXddnBUb73tgIYTUX3/fziio4fHJUlPX2qeuV3Imzo8kZIknaeTiw6ikwtgQ0p22d8FrJXhRHRTmdxHzizoO+5+QEOJiH7+zTdIqkYTlguWf0m9VVxhuWBqPmdq93C86e3rMXCdXK1/ukKQX+Su8gYEm5cv2bpp/4j+4ode4R8LFq4n6xZQBq11NaYdv/3tt0qSfuQjx/SvT16SVN1UxTNe+V1YbPG7sJgr6bo9wzo1m9P5hfymzqfTyOT2N35qADakuEYnV5KGk5FVR4j9r3ue1mcqL4zNnJnPSXIL2r968Iwkt2vrOI4W8tXCtlUn11vdf/3exkuk6+WtQB+0Tu4GG7kaS7uZbDq53VWwGqeHBIvc6eViy1nV7tWYzmy5fc3uIf+5UV/kevn8hRZXdRby7hvRyUxMFxa3V5G7XLAUC4fW/LcO2xM/NQAbstbCM2ntTu6ffPGU/unx1qOFLi8V/Y+fqUxVKNll5UrV+IIkf9GLx3Ec/f7nntPnn5mW1Jki1zAMxcIhlQZlxzN/usLGiqDxSg53jm1+u6pglhu6jPUF2amZXNPPbedqTLuu3pXxP64vcsMhQ8OJSNM3o+Wyo8W8qZFUTPtGkzq3sL3iCpeXC5oaim/4eYDeosgFsCGltjq5rYtcu+xouWitOv7r8nJR0bChyUy8ZgHbfK5U84JZf0n89GxOv/4vx/WBe09oOBGpGWW0GbFIaGA6uc4mM7nJaFjxSIhObpc1mwNd/+azVWRhswvPgq4JFrlDjQsNR1OxmjemHi92NJqMat9IUhd6EFdwHEff/8df0WePX264bXq5qMmhzced0BsUuQDWzS47Kjtr75Q0lGgdV/AWpK227e/l5YJ2DSW0Z6T2RWYhZ/ovmCGjMZMbfDG9fu9wx7ow0bAxMJnc8iamK0huB3gsFVt1vBs2r7hGXEGSTk43L3JLltOxy/BHJtMKGW68xcvgBo2mog1XXKTqc3c0FdXe0YTOL+T9qwhbZaVo6XNPT+uB52cbbpteLvrzh9F/KHIBrFupzT3vV4sreIXoanM8p5eLmhqKa/dQbSd2Plfy8337RpMNl0EX6orcThnITu4mXiXG0jHNZVl41k3uiLy6IrfyvIyGDe0fTerkzErTzzU7GFdIRMO6Yjyl8VRMkSb/Lowko00zud6x0VRU+0eTypbsjm4F3g7v349mcQrv3yD0J4pcAOvm7fq1ZiY3GdFS3mw6BH7B7+SuEldYcrsouyrzP73RSPM5U4uVDtDhiXRDt9DrGL3p5r16x8uvaOev1JZoODSAndyNd8HH01E6uXU+9tCZphsenJ7N6lNfO7eux3IcRwWrMZNrGIZ+/Vtv1j0/8fUaTUVbzqo27c4tPJOkm/eP6GBlFFi90VSs6XQF77k6koz5xeT0SrHhft3kveFeyJf02eOX9ciZBUnu92cuV9JUhiK3X1HkAlg3r5u51gvkaDKmsiOtlBpfZP1O7qqZ3IJ2Dcf9EWCHKi+gC7mSFvOmktGwdg3HGzow3mP/0ltu1HV7OtvJLQ5Ikeu9LdlM0mM0FSOTG7BStPTf/vpRvfMPH2i47aNffkH/9WOPrOtSvWk7sstOQydXkr7jZQd1ZDK96tWHktW5TK4k/cpbb9aHvvdo09tGW3RyFwOdXH+x4hb/znjRqYWcqZ//u8f1G58+LkmaXSnJcaRdHRhBiN6gyAWwbmabndyRlDs6qFkHZ3GNTm7JKms+Z2rXUMLfyenguFvkzmdNLeRMjSSjGk/FNLNSrOmwekXvSGV0UafEwiGZAxNX8ObkbqKTSya3RgvpYkoAACAASURBVK7yZu/5JhnZ+WxJVtnx57K2o2C5GxXUZ3KDYuHWRW4nF55J7vOtfrKCx8vk1l/V8Z6ro8neFbmLgSJ3ernojx6cXnY7ynRy+xdFLoB1azeT620I8JWTc3rtb39eb3j/v+tcZfW098JSssv+rkJB3iXLXUPVTu54OqaheETzuZLmK0Xu7VdOqGiV9bv/9qzecff9ypUsLeRMZeKRjr6AS5VM7oB0cjc7J1dyM7kLeVN2k7jKICqUWv/ueF3O4Da9az6etxvXakXuKlcfSh3Y8axdI8lo06s6wTekqxW5P/c3j+kTx8525dy87/35hbwKZlkzKyVNLxc1veLGSsjk9i+KXADr1m4md7TSyb33+GWduLyipy8t66svzEtSzXa/9YvPvnRiRv/h1+6V5F4q3FVZeDaaimn/WFJPXljSsdNzun7vkF517aSGEhF94N4TeuD5OZ2cyWohX+p4F1carEzuZkeISdJYKirHUdPRUZL0xRMzevzc4oYfv9/km7yZ83jfo9wq96nnFc3N4gqeeF1c4fxCXh9/yN1Yxc3kbk0ZMNpi17OFfElD8Ygi4VCgyK3N5DqOo088fFb3Pt044qsT/KtKgX+Hjl9c8ud0e2sC0H8ocgGsW/udXLfQfPbysn/s7HxtJ1dqjCw8eaG6x/2RyYwfVxhJRvX6G/foKyfnNJ8z9dobdiseCesNN+7x7z+fNbWYM/0Cu5NWu/S702x2hJgkDSXcn0Gr3PXPf+px/c5nnt3EV+gvuUAXsz57u7SRTq4fV2j9PHQzudXH/OV/fFI//deP6pEzC5W4wtZscuC96WzIz+dMf0e0eCSsTDyi2WzjSMCCWW46gqwTmr0JO35h2Y8rTGYaR6KhP1DkAli3dju5I0n3xeHkTFbDiYhGU1GdrWzVG+zo1M/KzVVe6O//2dfoyGRak5mYfv7NN+gtt+7TN794ryR3PNKrrp2SJL3n1VfrbbftlyTNZotayHenyI1GBmnHM/f/m5kxnIlHJLUeEzefM7WYH5zMbrCTW39J3iv+1lPkevddrZPr7tJXfWOWjrk/k//7lRc6vvBsNd7z8e4vPK8zc9Ud2KZXajdbGEtHGxYrXqhMo5jv0ji6ZqPDnrq4pPOLeY2loopHWn9/sb1Fen0CAPqPt/gqvsYLpPfCZtqOrhiPKxULN+3k1nf6skVL8UhIe0eSktxC6113HvFvv+XAiCYzcQ1XOoVHJtN635tv0Ce/ek5z2ZIWcqWOTlXwDGInN7SJRt9QonWRWy47lSkZg9MlC2bPLywWNBFY0OTHFZpMIlnr8VZdeFYXV/Deon3qa+dlGOrYnNy1jFa6tX//yHkloyH9xrfdIskdE3goMHZsPB1v6OReXHKL3G51cpfqOrkvPjCir76woFg4pJv2j3Tla2Jr0MkFsG7eC3J8lcukkhtn8Lp5U5m4Doym/CJ3IV9SOua+ONfP8VwpWv7nNfORH7xdH3jnbTXHRpJRGYa7Sn0xb/qTHTopFhmcHc8628lt7JStlCyVHW354P9eygW6tOcC29cWLdvv8q4nk5vfQJHrxyJMW7mSvWWZ3ODUheAEiUvLBT+OJEkT6VhDl9ubK1y/fXenBN9wG4b05hfv1cmZrJ6+tKyXHR7vytfE1qDIBbBu//bUZWXiEd24b+0uh9fNnRyK68BYUmfnc3IcR4t5S/vH3E7tfK5U80KcLVpKr1LkDiWiSsVqbw+H3G1kZ7MlLeRMv3PUSYPUyXW0+U6u9zNsNibOi6u0WpS2EwWjCOcDRW7we7C+6Qru7+Jqmdx4JKySVdZfHzurX/vn4w07EG7VdIWxdEz/8KN36ub9I37WtWDaWsiZ/vQUyZ3I0iqukDdtLebNdX2P2rGQL/lb946lYrrrRbv8244eGuvo18LWosgFsC4lq6x/fvyCXn/D7lU7SB6vyJ3KuEVuwSxrLlvSUt7UgTH3MuXPfvIx/aePHPM/Z61Obivj6ZhemMvJKjvdyeQO0HSFTowQWy2u4GdQTXtg3jgEM7n3Hr/sz4wNXi7PraOAK7YzJ7cy9u7fnrqkvz52Vkt5SxPpakRkqxaeSdJN+0d0xXhSl5YKuv+5WX3+mWlJtdMLJjIxXVgq6CMPnPb/fpcCO8S9+88e0o989Jg6aTFv6vBEWpK7yOyaXRntHo4rHDJ068HRjn4tbC2KXADr8qXnZrRUsPTmW/a2df/RyuKzqaG4X9Senc9rMW9q/2iy5nGtSgG54SI3FdPJmWzN1+2k1XaP2mm81f+diCtkK0VuySrrh//8If3B55/TTGDr1vru4k7ldSDf+8br9IVnZ/Th+05Kqu/kth/faHfhmWk7ypVszWWLWsybumK8moHdqoVnnl1DCV1eKuqnPv6I/uvHHpGkmrjCeDomx5He97eP69NPXJIkXViqFrkPnprTicsrHT2nxZzpb0c8mYnLMAx920sP6A037m64YoT+QpELYF2OV3YDOtpmVs2PK2RifjzhuekVrRStmiHrBbOsZy65L17Zoq10fP0rmsfTMT/z261O7qBtBrGZObmpWFiGUV1Y+MT5RX36iUv6tX8+rt/5t+rosPqFPzuV18l99yuv1LW7M3rg+VlJtUXuejq57S48k9wJJmVHurCY722ROxzXctHSuYW83+EPxhWCGWEv0nFxMe9fFSg77k5k69n+eDV22dFy0dK+0aQiIcPPDv/0G67TB7/rpR35GugdilwA63J6NqexVNSfbLAWP64wFNe+yrSER84sSJL21A1Zf+Sse3ytTG4rY4HLsDfs6/x0hfrB+juZ04E5uYZhKBOP+EP2H6ts/GAY1d8BaXByufmSrUQ0pFDI0IGxlJ81DY6warfI/ZfHL+oX//5JSWtvBiFVF3eWHenAWPUKylYtPPPsHmrcWCF47OVHxjVUee6fnM7qifOLOjuf1/WBaSlFq1yzccNmLBdMOY67cPWOqyb0ssNkcHcSilwA6/LCXFYHK/m1dnhb+05m4hpORpSMhvW1SoGze6T64jaSjPqFz3LR8js36+FlDXcNxWuiEJ0ySJlcr0+2mU6uJA3FI34n97Gzi5rMxHT7kdqrAANT5Jq2X5DuGUnoUuUyfE1coc3pCn/z1eoWt/FVFo95ndzg1whmcrdq4Zlnd90b21g4VHPV5ab9I3rsl96glx8e11fPzOvbfv9+pWJh/cArj9R83sxy7a5oG3Vpqbp9+J//wO36njsOd+RxsT1Q5AJYl9OzOR0KXO5cy7hfeCZkGIb2jib8Hc32jiT0K2+9SR/8rpfolitG9chZt9OXLVr+0Pr18L7WNbszm8qSthKLhFR25GeHdzJvUdRmv43peMS/LP3YuUXdvH9Eh8Zr3yTVj5DbqfKlQJE7nNBstqRCZWKAJA0nIm3PyV3Imbp6V0b3/MSrFFplBIbXqQ1GQoYTUUUqn7PVcQUvmhANG4pFQto1HG/6XD08mdIzl1aUN239wXe/VF9f2fjFM92BInelaPmb0wS729g5SFQDaFvJKuv8Ql5vrewu1o633rZfY6mY9lS6tntHEnp+2l0ctns4oe+6/ZAk6YHnZ/XImQXZZXeRzEbiCt78zcPr6DSvh1cQmLajnb4JUiemK0hSJuEWuYv/f3v3HSfXWd4L/PdO7zPbi1YrrZolWZbVbMsV4wYugCGA6dxgYgJJbkIIN9Q4IYQQLoFLSAgQIAmQ0AIJptlgjG3Z2Fi2cZVsS5ZWbVfb6/Ty3j9OmXZmdnZ3dufMzO/7+fjj3bOzM0d75sw885znfZ5IEi+MzOG6c7v1zKO2kK9ZMrmRZBpuRzaTCyjDEKYjSfidNvhd9orLFUbn4ji3N4AtXf6yt9Mytbm9aQNuG9wOK+ZiqVXtrgBkOykMtHsRdNthLRGgD7T7AChXAnatDcFmtcBps+j/jrH55QW5T5+ewc1feBCv37cWAPRFsdRYGOQSUUX+9cHj+Pufv4CMBPoXkckNeRy4OSco7g4oGRO33YpATklCp9+JmWgSU+pUo6V0V9Dq6X5nb9+if7cSWsCQSGX0YKVRZfvkLi8I8jltGJwI4+Wfux8SwEu2tOu1qH0tbhwbCxsuPIsl0xW1qKsnsUQ2yO1Rg9yzszGcnIzoGc1KesBKKTEyG8NVWzsXvK1ROULAZYdHDXJXu1wh4LLBZbdgU6cPH7phG0qtHxtoV15jLt7YBpv64bLF49B75S63XOHxk1NIZyR+/NQQnDYL2n3NM3mvmbBcgYgWNDobw/+963n9svO6ZWRKtTf37qAr7zJlp7r4ZFBtAeZbQk3uvvWtOPo312NP/8osHnGoWa94urrN6M1In3i2zPvxu2w4NRnF8EwMX3v7Bdi7rlX/kNTld8FpsxQFuT9+aghbP3onjo7OLfPRzSWaTMNjV57X2qLLk5MRPHxsAhdvbIPHYa0okzsfTyGSSOd1JSjFaGFZwJ0dprLa5QpCCLz/ZVvxtovXo6/Fk9fpIddmNUN9RU6ZQlfQhb3rWmC1iGVncrU2ZHOxFPpa3CtS3kS1x0wuES3oaw8OIpHKwCKUy9jr25Z+aU+7TFv4Bt2hfq+VMiylXAGAnvVZCV6972saKH+VuO5pQW65es9KaBl5q0Xgkk1tAKDX5IY8dgTd9qJyhW8/cgqAUv+9qbNx/tCRRBoBdRKfdh7c+cwwIok0LtvUgSMj8xVlcrXFUoWLuIyUyuRqtcGr3V0BAG69bGDB22zs8OE7t+3H3pyJY5+7ZRecdgtu/qcHl12TeyTnAxRLFRoXM7lEtKCh6Sj6Wtw4+OFr8E9v2pM3oWix9ExuwX1oYzVfHFcyLL4l9Mldadoq8OlIYoFb1r9MFVqIAYDPqfzN1rV64FQLmYMeO9p9DnT6nQi47UXDIIZnlP6ojZZciyXTcKsjeP0uO3xOG+4+PAqLQDaTm1x44dmo2pWh06AdVyHDINdtg0ctm7CvcrnCYly0oS3vQ+v6di96gm60+5zLDnKPjob1r9dw0VnDYiaXiBYUSaTgcdjQ5nPixp2VTTorRc/kBguDXOX741om14SThkJqO7TcvqaNKlOFiWdA9sPKxk5f3vZvvvMitPuceGZotiiTq2Uq5xqs60Ikkc6boKX9ZS/f3IGgWkIQSUQWvJ+ROSXIraRcwai9mM9p02uDM1UaqrCaOvxOjM8v/YPmdCSB8fk4Btq9OD4eZmeFBmbej3BEZBrheFrP/CxXX4sHDpsFGzvyg542rwNWi9DH8i6lJnelhdRLzdPRxs/kZvvkLu9+nOpl8cK+xVu7A2j3Kf2MtQ82gLKoSqv9nq9Sw3+ziBYsprv9lefifdduwRffokzWcjusiFVQrjCq9XatpFzBmn08v8uGFo8dNqtFP58rKY8wm45lZnK1etybdykLYgdWqBsL1Z753kWIyHQiyTSC7uqMyQ267bjnfS8pKlewWATafY5skLvEmtyV1NJEmVxZpUzuhJpx6w4aB2Q7+4K448khjM3F0eF36p0XgOw44EYRy+mTCwCvLegCopQrVFaT63VYKzpHcssV3nvNFly0QRnE4VcnFsZT9RfktvudGJ+PI5ORS6oZ115jXrWrF/vWtxQNJ6HGYb53ESIynUg8hd4SQcpSlFro0el36Zeql7rwbCUF3HYIAUw1RZCr/H+5mdx2v/LBYHuP8Zjl89YEAQDPnJnBS7d26lk2oLEyuVJKRJLlr4i4K+yuMDoXq7guPjfI7Q25cW6v8vf+4PVbYbcKXL9jeeVHtdDhcyKVkZiJJvNGeVdqVM0CdwddWN/OLG4jM9+7CBGZTiSnv+dK0hafWYQ5M7lWi0DAZcdMUyw8U/6/3D65v3f5BuxcE8Jlm9sNf37umiCEAP72Z4fx4NHxvEVAjRTkJtMS6Ywsex557DYkUhmkM7LkkARAmQhY6djr3CDXZc9+3eZz4m9fs7Oi+zCbDvV1Ymw+vqQgd2Q2hqDb3nB9mKkYa3KJaEGRxNLG7C6Wdmn891+y0bRvQCGPvSkyudVakGS3WkoGuIDyYUZK4IWReXzlgeM4OjoPj8OK7oCrocoVomoZgrvM89qrLtKbi5V/fkUSlQ/KyG0RVu6x60m7Tw1yl1iXOzIbq2jRHtU/BrlEtKBwIg3PKrT0+pNrNuOjN23H+192zoo/1lKFPA5MN8EYWlmlTG4l/tcl6/WvDxwZR3+rB351HHCj0BZ4lcvkaosxnztbfghGdIGyh1z5mdzGCHK1TO74EgdCjMzGK+oxTPWPQS4RlZVKZ5BIZVYlk7tjTRC3XjZg6ulDIXdzlCtkF56t/GPd/ort+P67LwGgTABb1+aBr8GCXG2Bl1FLL80OtT75iVPTuPvQCDIZ42x6NFF5kOts4CB3qZnc0dlYRT2Gqf4xyCWisrTV3tVqIVbvWhYoVxieierDDOpZtoXYyke5Qghsyumj29/qgc9pa6g+ucl0BoDxcAZNh9+J3qALn/zZc3jn1x/FfUfGDG/X7OUKAZcNDptlSUFuJiMxOhdHJ8sVmgKDXCIqKxLXglzzLQSrhZDHUXLi2U+eGsbFf3sP3vWNx1Z5r6pPq8ldbneFSgXddrSpi4j627zwOW0IN1AmN5FS/p72BcbontcX1L8emzUO4hZTrmCxCNjUg5i78KyeCSGUXrlLKFeYjCSQykh0+RnkNoPGeMYT0YoJJ5RAw2vCMbu1EPLYMRtLIaVm5nJ98s7DAIDnF6iprAfalfLVrBwZUNs5aZncRipX0DO5CwS5O/tC+tenp42vCEQLJqctRMseuxroaky7f2kDIbRBGqzJbQ4McomoLH3BTINc6lwuberZbMGl9NlYEqcmlaBkoWxdPajWMIjF0ILcda1qTW4DlSsk1CB3oefGjef14BXn9yLgsuH0lDLiV0qJGz53AF+670VkMrJoctpC9CDX1jjn8FKnnmkjkSvtM0z1rf5fiYloRWmXjM04nKEWtL6cUwUlC1r2dk9/CPPxVF1OksqldVdYzSWAe9e1KKN+W9zwO22YT6RKLr6qN8mUFuSW/4uub/fi82/cja3dAZyeUj40jczGcWh4Fo+emEIstfgaeYfVAotY+LHrSYffsaTuCqOzSpDLFmLNgUEuEZWlTWDiwjOF1mVCq1XWHB6eBQBcuknpCTsVru82YxJaTe7qBUa3XLAWD3/wKtitFnjV/rmVjLmtB3omt8zCs1x9LW6cUYPcp05PAwBOTkSWdGXFYbPAbbeaumvJYrV5nZgMJxb9IWginNB/nxpfTYJcIcRXhRAPCSE+UovHJ6LKaTW5XHim0C4TF2ZqDw/PIuSxY5s6vnYyXN9txjJqyfFqBrlCCNjUy/k+daLXn3z7tzg1GVm1fVgpybQSjC1Uk6vpa3HjzHQUf3nHs/jhk0MAlPZqkQr67RZy2CwN0z5ME/LYkZHAfGJxJS1zsRRsFtEwi/CovFV/1xJCvAaAVUp5sRDia0KIzVLKI0a3DcdT+NSdz63yHpLdasHbL1mP1iWMS6TGw0xuPqf65hhL5i88OzQ8h63dfv28KSxnqDeZVeyTa0Qb63z34VEMtHvx4Ru312ZHqqSSFmK5+lo8AIB/+/Wgvi2aTOsB/2LOR6fNCpe9eKFkPQuqtfEzkSQCLnvFvzcfU0YiN1JWm0qrRWrmSgDfVb/+OYDLAOhBrhDiNgC3AUDbmgH8y4Fjq71/TU1KIJWR6A668MYL+2u9O2QCEdbk5tGa6xdmck9PRnDdud16G6x6z+RqF4FrFQv4Xdnn28+eOYsP3bCtrgOTRKqyhWeanlD+wqiugBMjs3F9GtpiyxUaLXMZ8ijn2XQkibWtlf/eXCypXyWgxleLI+0FcEb9ehLAntwfSim/DODLALBv3z756N/csLp71+Tm4ynsuP2uBWenU/MIM5Obx2nTyhXyM2NzsRQCblvJhWn1phbdFXJpf2e33YrTU1E8fWYmr71Wvcl2V6js77lrbQjXbOvC+67bgi/e9yIuHGjFh//7GX2B42LKFZxWC9INdv6GPEr2djq6uPNsLpaC31l55pfqWy0+2s0DcKtf+2q0D1SCx26FEGio1j20PNFEGhZRfhxpM9EyYrmZ3FgyjUQ6g4DLrrcYq/dMrraeZ7WGQRTav6ENn73lfNz3/ivhcVjx9q89gidPTddmZ6qg0j65Gr/Ljq+8fR+29QTwuTfsxmv39kEI4LmzygLHxdTI97W4sVYtf2gU2nk2XWb6oJE5tVyBmkMt3rUeg1KiAADnAxiswT5QCRaLgM9hw1wDNWGn5QknUvA6WMOm0TKMuTW52vjZgMsGm9WCoNuOqToPcqUe5NbmuFstAq/e3YfOgAv//Z5LEU6k8SN1AVY9Si6yXKGQ02ZFT8CFF0bmASyuXOHvXrsT//DG3Ut6XLMK6pncRQa58RT8i6jhpfpWi48z/wPggBCiF8D1APbXYB+oDG+DjdOkpXvq9DQODk7Cw2lnOr0mN6e11axa3qO9ebZ6HZhcZIbJbPSFZzXeDwA4p9uPgMuGaB23E9O7KyzjikhvyI2hGaXP62LKhxphOEmh7MKzxZYrJBFw+Vdil8iEVj3IlVLOCiGuBHAtgE9JKWdWex+oPJ+rscZp0tLd8qWH6zqwWAlOvVyhOJOrXQZt8TRAJlf9v1ky+C67Ve8RW48qnXhWTncwuxhtMTW5jchps8LjsC6pXIELz5pHTY60lHIK2Q4LZDI+p01/06bmJaXUA9yt3cx8aIwWns0ZZHKHpmOrv3NVJGvcQqyQx2HV29nVo0SFE8/K6c4ZRcsx20pd7mLKFaSUmI+zJreZ8EhTET8zuYTswqk/vXYL3nQR28lprBYBu1UglpPh1mty3cpLapvXiSdP1/dFKm2SVK1qcgu5HfVerpCB3SqWlRnPy+QyyEXQ41hUJjeSSCOdkazJbSKNV6hDy+Zz2thdgXBCbTp/bm8A7T6OwMzltFnzMrmz0fxMbm/IjbG5eFEv3XqilSvUqrtCIbfdUtflCkqQu7y33J6g0pjIZbfAYpYDU0Mhtx0zi2ghpiVvmMltHgxyqYjPyUwuQZ+s1N/aWK2HqsFps+QFsIU1uWtalGDk7Ez9lixoLcSEKZaeKS2zIsn6fV1KpuWyg9zuoPJhk1lcRchjryiT+7m7j+Bln70fB46MA8hO06PGxyCXivhczOQScHJCCXLXMsgt4rJbEU/m1+QKAfjU3qW96rSqM1PRmuxfNeg1uSZ5l3A76nvhWTyVWVZnBQDoVjO5i+mR28hCnspqcu95bgTPj8zhz773JAAsagww1TeTvHyRmfidNswnUnpNHjWnk5MRdAWccDFrVMRpsyCWW64QS8HntOmXkPtCygeDM9P1HOQq/zdHHlfJXtZzkJtMZyoeBFFKp98JIdBwI3qXKuh2YCaS1D+QleIseA1juULz4JlCRXwuG6QEInW8yIOW7+RkhKUKJThslrw+uXOxVF52qCuoBCP1HORqfXLNsvDM47DW9WuStvBsOexWC9p9TmZyVSGPHYl0ZsGuG/FkGi2e7PnJhWfNg0EuFfGpc705EKK5nZyMsFShBKe9YOFZLJmXHXLarOjwOTGUE+RKKfHo4CSS6Qz+8o5n8eOnzD29K7vwzBxBbiNkcqsxlKE36IKXw1kAZMsOFmp5GUtmsGttSP+efXKbB480FdFeQOdiKXQFarwzVBOxZBpnZ2PM5JbgslkKWogliy6Brmlx52Vynzo9g9d+8SH0t3pwcjKCf/v1IEZn43jHZQOrtt+LkTFZn1y3Q/lgkc5IWOuws0AitfyFZwDw0Zu2m2ZAR61pLftmY8m89mqFYqk0Au7cTC5Dn2bBTC4V0V4A2GGheZ2ZjkJKYF0bg1wjhZncwnIFQGkjdnIygqQ66erUlLKQ7+RkBOvbPLh0Uxu+cO/RvGDZTPSaXJPEU9oY23rtlZtIZ2Bf5sIzANi3vhV717VUYY/qn3bOzS6w+CyWTMNps+gjuX0s92gaDHKpiFauwA4Lzesk24eVpbQQyw9yC7ND53T5cWoyipf9v/sRS6YxnDMB7T1XbsIfvHQTxucT+OzdL5iyNEiarCZXa5tVryULyVQGzipkcilLy87OxsoHufFUBi67Fb9470vwuTfsYo/hJsKPM1RE6yE4H1/cTHBqHGwfVp7Lbi3ok5ssWszynis3Iui24/Y7nsVDL07gzHQUXocVv/7g1QioAfFVWzvxpfuOYXA8jC+9dd+q/hsWkjFbdwU1+1a3QW46Aye7IlSVdh7NRheqyU3DZbeiv82Dfl6daio846iIlpFaqJifGtfJyQhcdgs6OOnMkNNm0fvknpqMYDqaRFcg/29ls1rwhgvXwuuw4heHRzA8E0VPyI2g2w4hlPGuX337Prx1/zr86vkx05UtaOUKZsvk1utAiGotPKOsSjK5UkrEkhm4qlAqQvWHR52KZDO59flmQsuntQ/jAhdjuRPPvvbgcViFwO/s7TO4nRVXbOnALw+PYGg6hp6CxTFCCFy9rROJVAaPHJ9clX2vlNkWnuk1uXWayU1UYeIZ5fPrmdzSQa5WVlTYK5eaA884KuJW30wW6j1IjesUe+SW5bQpE89iyTS+c/AUXnl+L3rUaVSFrtnWhZHZOJ4dmsGaUPFtLhpog8NmwYEjYyu924uitRAzywcdd70Huan0sodBUD6nzQqX3YLZMlcdtSsuHGrTnHjGURGbWpTPiWfN6/RUFH0tDHJLcdmVhWenp6KIJNJ4yTkdJW/70q2dsAilxtUoEHY7rNi3rgUPHZvI257OSPzi0EjNzkMpJcy0PkcvV6jTIDeZlsseBkHFAi77Aplc5fniZLlCU+JRpyJaD8oUg9ymlMlIzMdT+qIOKua0WZFIZ3ByMgwA6GsxzuICQKvXgX3rWgEAPSHjXp6bO304MR7JG0/6j/ccxe99/VH86vnRKu555TJSmiaLC9R/C7FkOgMHA62qC7jtZdePxJjJNVngVgAAIABJREFUbWo846iIEELNPDHIbUYxNfPhZi/JkrRV8sfGlCB3Tah81vua7Z0AgN4SJQ1rWz2Yi6cwk5OR+uETZwAAk+HEsvfXyPNn5/B7X3+05II3KWGqTK6r3luIceHZigi4bGUXnmmvZy52tmhKPOpkyGoRzOQ2Ke1ysJY5o2Lapc8Xx+Zhtwp0+st3oXjd3rW49bIB7Ftv3MRfa9V2cjKCExNhfOxHh3BsXAmgh2dihr9TSjoj8ZmfP79gcHzgyBh+cWgEz52dM/x5RgLCNA3Ess/HSKI+F8QmUgxyV0LAXb5cQfsQ57Lx9awZ8YwjQ1aLQJpBblPSMmVuBrklaVnFF0fDWBNyL9hcvsXrwEdv2l7ykulatf751GQUP3j8DL724HH9Z8MzUcPfKeX5s3P4h3uO4u5DI2VvNzYXBwAcG5s3/LmENE1nBQDwaH1yk5kFbmlOCZYrrIiAy1524RnLFZobzzgyZBUMcpuVVvPITG5pWib36Nh8VRborW1VyhhOTUUwOBFGu8+JX77vJThvTRBD04vL5E5HlQzu2Hy87O2yQW7Y8OdKuYJ5olztbx6t00wuF56tjIDbVlkml+UKTYlHnQwxk9u8WK6wMKd66XMynCi76KxSfpcdLR47Tk5GMDgextZuPzZ2+NATdC06k6u94Y8vFOSqPz82bpzJzWTMlcm1WATcdmtdLjxLZyTSGfbJXQlKJjeZt2gzl94nl+UKTYlnHBmyWS0Mcqsklkzj+LhxtsyMtJpHt50Lz0rJbUdUjSAXAPpbPTg1GcHx8TDWtyvZ4d6QG8OLzeRGlCB3Yr58Te6CmVyYK5MLKCU09dhCLJlWAi2WK1RfwG1HMi31soRCzOQ2Nx51MmQRXHhWLf/v7iN46afvxdHReXz34KlV+/CgvbEuVpSZ3AXl1vdt7PBV5T77Wj145swMZmMprG/zAgB6Qy7MxVNlV48XmqkwkzuqBrnHx8OGvXgzUppo2Zki5LEv+O8yIz3IZSa36gIuZbSv9qGtUDbI5etZM+IZR4ZsFsFhEEt0diaW90Z8aioCALjmM/fh/3z/KTz04kSpX62akdkYNn/4Z/j2IycX/bssV1iY16n8bbb1BHDdud1Vuc/9A62YUrOwA+1KkKsNj1hMNlcLcstlcpPpDCbDCXQHXIinMjgzXVwSIaV5RvpqNnX4cHTUuLzCzBLqJXOWK1TfRRtaYRHAv/76uOHPY/pYX/7tmxGPOhliC7Gl+8P/fBwf/u+n9e87fPntpSbCK5+JenZoBgDwgR88XbJWrRR2V1jY+X0hfOVt+/A/f3CJPjxluV65a41+SXV9ezaTCwBDi6jLrSSTqwXAe9WWZtoHsVxSygW7Rqy2TZ0+nJiILPkqhZHZWBKv/9JD+M2x4g+fX7zvRXz8x4eW/RjJtHIOMsitvo0dPtxywVp88+ETOGvQbi/OTG5T4xlHhqwWwWEQS3R6KppXgzsfz18NbvRCXG25dZYPHl1c5liryfVwGERJFovANdu7qrqYJei244bzeuCwWfSWYp1+JcgtdSnWyLQa5E5GEkiVCAa1+9u5JghAyfwXUvrkmsvmLh9SGYkTE9WrcT82FsYjxyfx7v94HKcms8H+qckIPvmz5/CVB4wzhIuhBeXsrrAy3rp/PZJpid8cL36tyy48Y7jTjHjUyRAzuUsjpcREOJ53eXk+lsL6Ng++eetF8DisOGsQUFRTJJHCsfEwPA4r7FaBA0fHFvf7bCFWM7ffdC6+c9t+fYFSm88BYOFFZLm07gpSQi9/KDQ2rzwHz1OD3LMzxUG0hDTdwrNNHX4AwJGR6pUshNUPoZPhBG77xmP6h7x/vOdo1R4jwYVnK2pLlw9OmwVPn57Rt83GkkimM4gl0xCC9dDNikedDFlZk7sks7EUkmmZt1gonEih1evAZZvb0R1wGWbNquVXz49i+1/chZ8+PYyt3X5s6vTj8LDxRKtSognlTYGZj9UX9Nixuz87Fc3jsMFtt2JiEYutckcDHzgyZrhobXRWub917V74nbbSmVxzxbjY2KmUcVSzLle70vL+l52Dw8Oz+PpDJwAAT5yaBqD8DZb7WsiFZyvLZrVge28AT51RglwpJV722fvxpfteRCyZhstmhTDbk5lWBc84MmQVAqlMfU4WqqXcYETL5s7FUvCpK4C7Aq68coVwPFXykvJiPHNmBj984gwePzEFQGkjtaHDh209fhweni26/fcePYUdt9+Fl376Xvz6xXEA0IOhSCINj51vCmbR5nNgYoERvbmmI0n0BpUyhz/97pP4258+V3SbETXIbfc50BV0GZbQSClN9xzwOGxYE3LjSDWDXHVa1k07e9AVcOJF9b6H1MV4UgLzyxxAEVfbW9kY5K6YnWuCePbMDNIZibOzMQzPxHBsLIxYMsP2YU2MR54McRjE0uQGI9piofl4Cn6nUt/aHXTpAYaUEtd99n78wy+PLOsxf/r0MG76/AP4428/kResbOjwYntPAGNz8aJFSI+dmFKCGABv/9ojePDoOHZ/7Bc4ODiJSCINN+txTaPN51xU26yZqPIBR2OUyT0zHUGn3wmnzYrugMuwhEaZeLa0fV5JPUHXomqUFxJWA1iv04a+Fg9OT0UxG0tiLp7CBnUB4FyZsbGV0IJybbIdVd95fSGEE2kcH5/Xy1nGwwklk8tFZ02LQS4ZYpC7NEaZ3PlYSm851aWWK4zPxzE8E8OZ6Sh++dzokh8vlc7gEz89rH//65z2ZBvafdjWEwAAPFdQsjAdSWJNixuffv35SKYlvnz/MaQzEgcHJxFNpFiPayLtXkfFNbmZjMRsLIlzuv36Nrsaqf766DjufOYsAGVxpDbEoqtECY3SJ9d8Ua7fZcNcvPK+wQvRyhV8Thv6Wtw4PR3Rz13t7zi3iD7FRh47MQm/y4Ytnf6Fb0xLsnedUuZz9+FRvZxlYj6OeCrDILeJMcglQ1x4tjTjOcGIdrlzPp6Cz6mUK3QHnEhlJPZ9/G7837ueBwAcGp7FTIkFQgv56TNncXoqive/7BwAwJnpKPZvaMXHXnUuXrq1A1vVN+nCkoWpSAIhtwPbugOwCOD+I2Pq7eaUcgUGuaahlCtUlrmci6UgpZLtPPSxl+Hc3oCehXz3fzyO3//mY/jRk0NqkKt0cOgOOjE6Fy/6UGvWTG7AbV92ZjXXfCwFm0XAabOgr0WZMKd1WdCC3Nno8h7v0cEp7F3XYrqWbI1koN2LC9e34luPnMSRUeVD/aSayeX6gubFI0+GbGwhtiRaxq3D78TQTBSZjEQ4kYLPlS1X0Nzx5BAAJZh4ZHCy6L6eOj2NSz95D7776KmSj3fHE0Poa3HjHZcO6IuEBtq9eNvF6+G0WdHmcyLgsuF0QR/UmWgSIY8dbocVmzp90A714eFZRHl5z1TafE5MzCcq6nesLToLuu3wOGxK1jOmjWlWjulf/egQhqazmdzugAvpjCxa3KYsPDNfUOZ32fQOEtUQjqfgddoghEBfiwepjMRvTym17VsXyOSG46kFj8t0JIEjo/PYt66l7O1o+d68vx8nJiL41iPKa+bEfAKxVAZOvp41LQa5ZMhiEUilGeQu1kQ4jpDHjv5WD4amo4gk05ASek2ulj0DgHRGotXrgNNmMWxEf/8LYzgzHcX/+a+n8KS60rvQkdE5nN8XgtthRa86HUv7v6bD78RYQQAzFUkg5FGyyzt6lTZSdqvAsbF5TEeSzOSaSJvXgVRGVpRN1ILckEdpPeZz2vWa3LlYEm67FePzcaQyUn8udgWUD16FdbnKwrOq/TOqJuCyqxnr6rw+zcVT8Onnp3LuPHJ8ElaLwKZOpbbZKHMcSaRw7u136VdkSnlMXQy6d11rVfaXSnv5jm6c05UtCUmkMxibi8PFTG7T4pEnQ8zkLs3EfAKtXgfWt3nx4lhYX7ntVd9Ed6wJ4sd/dBn++uYdAIBzewPY3R/CwwZNzI+MzuvN4397cqro57FkGqcmI9iovhGva1OCljUtxUHu6GwcM9Gk3hN0OpJEixoInav2Sr1mWxcyEnj6zAyDXBNpVyfmjVdQsjAdVa4kBN3KB5iAmskNx1MIJ9J4+Y7sCGItoOvwq/df8EFIAqbrkwsAfpcdqYxELFmd7i/hvCBXOYcODk6hO+BC0K2cI0aL97SrNl+498Wy93/gyDhcdgv2rAtVZX+pNKfNii+9dS9aPHZceU4HAGBwPKyfD9R8GOSSIdbkLs34fBztXie29fgxNhfXJzNp5QqAEuhevEHJ6mzp8mP/hjY8OzSb198UAF4Ymcelm9rR6nUY9ro9Ph5GRkLPNmVHweYHuZ1+F8bm43jnvx/E+//rScSSacRTGQTVTO7VWzuxpz+Ed14+oP8OuyuYhzYQYrKCNmK55QqAukgrltS7EVyysS3nqoJbvw0AzMfTefeVMWkmV9vf5S4G04TjaX1hqDZGWfs6+1jFmdzpnDr6RKp0wP3A0XFcONBW1el4VNr6di8e/+i1+N1LldezaDKdtxCTmguDXDLEYRBLMxFOoM3n0LsaPKpeqtQCC83GDh/+91Wb8Pp9a7F/QxukBA4ez9blpjMSL47NY0uXX+l1e7a41622gniT2i5Ka3e0ttWTdzstk3toaBYPHp3QgyUtk7u+3YsfvOdS7Olv0bOGHtawmUabVzkmlQyEyJYraEGuHfPxFEbVILcr4MJutTZU+zCkjW+OFIyfVhaemS/KDagBvFF2dSnm1JpcQMkE7uxTrmzs7m+By26Fw2YxfKzcD6WPG1xpAYDhmSiOjs7j8k3tVdlXqowQAm1eh/791u5ADfeGaonpGjKkDINgkLtYo7MxXLKxTQ9yH1ED19xMLqC8CP/pdUpHhFgyDYfNgoePTeCa7V0AgJOTESRSGWzq9CGTkfjGwyeQSmfymskfGZ2HRSj9cAHglgvWYk3IjTWh4nKFaFLL0qX1GsFQwSU8IQQu2tCKnzw1DDfLFUxDy+SOV9BGTMsu5mZyMxL6FYXOgBO37FuLdp9DX1zoVYPccKK+MrmzVeqwEI6nsCYng/s/77kUiXS27VTAZTOsh84Ncn9zbBL7N7QV3UY7/y/ZVPwzWlnaB3YA2NrDTG6zYiaXDLFP7uLNx1OYjaXQE3Sj1etAV8CJg2rXBJ+z9OdJl92KSze24T9+c1LPCL0wopQnbOnyY2tPAPFUBoMT+R0SXhydx9pWj/5m7HfZcf15PUX335HzYg8Avzw8AgB6uUIu7Y26cKEa1Y4WsBaWsxiZjSbhsFnynhMAcGxcCXI7fE7cuLMHn3n9Lv13POqleqNMrgljXATKlBAsRTie0gN9QFl0m9tdRFnoVj6TO6wOfimklYkUXl2hldeqZnKdNgvWt3lrvDdUKwxyyRCD3MUbVvvianV9W7sDiKjZsXJBLgB86rXnozPgxLu+8RimwolsKUKnT29jpAW+mhfH5vUShXI6A9kg1yKAXx5Whk9o5Qq5LlivXMqeWsQYWVpZLrsVTpuloiB3JprMW2SjZT2Pjc3DahGGx9xutcBhsxSNrpWQ5ixXUAP3arURU4a1lD4/c9uw5dIW+a1v85ScSDcdScJqEUXlSrTyHDYL/C4bzun2w8r+xE2LQS4ZYpC7eEPqSF2t1vHyzdk6vIWC3A6/E//85r2YjiRw+x3P4oWROawJueFz2rBWXfGtDZcAlPZOJyYiGGj3lbrLvPsGACGAK7Z0YE7N2IUMMrnndPnx5y/fik+8+rwF75dWT9Btr2hgyHQkmVeGkg1yw2j3OUoOI/A6rIgULjzLwKTlCsq/rxqZXCkl5hMp/e9U6vEKa3JT6Qxmokk4rBasbfVgrEQpyXQ0gaDbbsp+w81g19oQrtjcUevdoBpikEuGbBaBNFuILYqWye1RBz68evca/WflMkWa7b0BvGX/Ovz06WE8fXpG75oQcNvgcVhxJifIHZmNI5pMY337wpdBtXKFnoAL1+e0kDLK6gkh8O4rN+qdGsgcgm77EjO52XKFTr+r1K/B67QhXC+ZXHf1uitEEkof63LnZ8Cdn8k9Ph7Gtr+4E785NomA2452nxPjc6UzuYW177R6vnHrRfgzdRokNScGuWSIwyAWb2gmBiGyzfXbfE59nKSjwmbkl25sRyojcWw8jM1qkCuEQG9IGTeqGVQXElVSa9biccBmEehv8+CqrV36dk41qx9LDXK1+tV0RuoZfSNeh03voawx68Qzt90Kq0VUpbuC9m8ud6XF77TnlUYcG5tHMi3xxKlpBN02tPscGJ+PGw6nmIkmDWvfiWh1MMglQ802DCKVzuA7B08ilV56g/nh6Sg6/U7YczogPPiBq/C937+44vvYkzP6c0vO5J6eoCtvccugupBooIKMq8UisKHDi3N7g2UDHTKvkGcRQa6nOJMLKP2ZS/E4rXr9uEZKacqFZ0KIknWyizVfQZCr/e21IDa3P25QzeTGUxn9vnIxk0tUW6yGJ0PNMgzi6Og8/uM3J7B/Qxv+/PtPo93nxNXbuhb+RQNDM1H0FIzUbfc581rZLKTV68CGDi+OjYWxqStbb9sbdOO5s9mFZ8cnwnBYLUWDH0r53rsugdOuBN/ff/clJVeDkzkF3HbDgSCFSi08A4D9G0qPlTXK5EoJWEyaBtFG+y6XFpiWK1cIeRyIpzKIJtPwOGyYzvmwEfI4shPp5hN5HyoApSZXKzsiotVn0pcwqrVmGQbxn785iX99cBB3PDkEQOk9u1TD07G8iUlLtU/N5m7OeXPsCbkwNhdHPKVk2wbHw1jb6q541XDQY9fLE/aua8FNO3uXvZ+0eiopV0imlWxibpCbO555T3+L0a8BALxOK8JGE89MmctVgvdqdFfIBrmlS3davcrfc0rN4M5EsovMgm472kuMRQaUTC5HyhLVDoNcMlTPwyAyGYmDg5OGNXKFHj42AQD4xSGld+yRkaUFuZmMNMzkLsXvv2Qj/u53zsvLCmkZ25EZ5Y30xESEvR+bSNCtTC4rV04zWzDSF8ivqS1Xg+11FC88y0il5ZwZaZncg4OT+MzPn1/y/UTVEg1vmTHW2gJNra1ebiZXKVdQh3UULD5LpTOYi6UMu5gQ0epgkEuGrBZL3WZyP3/PUbzuiw/h4WOTZW83HUno43K12fNHx5YW5J6djSGWzFSlK8GGDh9uuaA/b1uvGjwPqWUGZ6aibDDfRIL6KNvSl+gLR/pq/vjqzfjyW/eWvX/DmlyYc+EZALR47ZiMJPC6Lz6Ef7jn6JLvR/s3e8pM+NOGCmjjsHNrcgNuu969pDCTqx0r1uQS1Q6DXDJktaAuM7kvjMzh8/ccAZAdqVnKI8cnIWX+opNDQzP4P//1JJ5Tg99KHRtTFoJtXKHWWz1qGcTQdBQz0STm4qmi8b3UuAqnnn37kZP49iMn824zY5DJBYD3XrsF153bjXKMa3LNOdYXUNrijc5mu40stae3lsktN8Y6pGVyI8WZ3JDbjlavA0KgqFfutHr7Fm9xqz4iWh0McsmQ1WKpy2EQvz46jlRGotPvxGPqiNxSnj4zA4sAXrVLqU/d3R9CMi3x3UdP41u/OVn2dwsdG1cywBs6VmaRSV+LGw6rBc+dndOHQlS66IzqX2GQ+6X7j+FL9x/Lu02pILcSXqcN8VQmrxxCSpiyTy4AdAZceVntWDJd5talRdQSDU+ZcgUtk6uVK8xEEvoHzDafAzarBa0eR96wFiAbDLMml6h2GOSSIasFdTkMYngmBofNgqu3deG3J6aQzkhIKfGXdzyLe58fzbvtRDiBFo8DFw4oq85feX52MVZuG7BKHBsLw+uwoiuwMi26nDYrzusL4tHBSZyZUt5M17QwyG0WuUFuLJnG4EQYgxNhPUgDgCG1j3K5oQ+laJfrwzklCxmTthADsgNONPFUfq2ylBJ/85NDeObMTNn7iajBsbtMvbIysQyYVMsUpqNJXLC+BV952z68XB2ucuFAK+57YSyvxEubUBcyGLpCRKuDQS4Z0jK5lSzeMpOhmRh6gi5csL4Fc/EUXhiZw53PnMW//XoQH/vxobzbTkcSCHnsuGlnL/77PZfgjRf247V7+wAoAfBiHBsPY0OHb0VrGPeta8EzZ2ZxXO2RW41ODlQftDrbmWgSR0fnIaWSac1tK3d4eBY+p21JZSxaC63coDkjzTnxDEBRv+fCTO58PIV/OXAcN33+gbL3E02kIQTgspd+K7RaBIJue3bhWSSJkMeBa7Z3wWlTguOX7+jG2Fw87+rRdFS5PWtyiWqHQS4ZsqnLquutYmFoOoqeoAsXbWgDAPzy8Ag+dZey+rqrIMM1FU6ixeOA1SKwu78FLrsVn37d+di1NmTYDqicY2Pz2NCxst0O9qxrQSKdwZ3PnoXDZkG7l4MdmkVADZR++NszOHBkXN/+XE7v3OfOzmJrtx+WJbRE0ILc3LpcKWHemtwFgtxoTka6XClDJJGG225d8MNpq8eByUgC6YzEbKy4LdhVWzvhsFpw5zNn9W3TEeOFgES0ehjkkiGt/2oqs/QJYLUwPB1Fb9CNNSE3dveH8I+/Oorj42FYBDBWELhORRKGlxLbfQ5MzFeeyT0yMocz01FsaF/Zpu971f65j52YQm/QtaRghuqTFlT98rlR/N2dz8FuFfA5bTg8rCyQlFLiueE5bOsJLOn+vVq5Qk6vXDMHuZ3+8uUKuZ0i7nthrOT9RBLpsp0VNC1eB6bCCczFkpCyOHD1u+w4d00Az+dk1qfCCVgEigZEENHqYZBLhrQgtx5i3DueHMINnzuAP/rWbzEyF9cXZN20sxexZAYbOrx4y/51GJmJ5f3edCSJFoMsS5vXiYlwZZncSCKFt33tEbT7nHjtvr7l/2PKaPc5cfXWTgCAu8xCGWo8TpsV//zmPXjHpQMAgGRaYluPXw9yT09FMRdPYWuPv9zdlKQtvMrL5MK85QptPmdeD9/CbG1ukKv1wjYSTaTKdlbQtHgcmIoky2ZnWz0Ovc0YAIyHE2j1Oioe2EJE1ccglwxZRf1kcn95eASHhmfxoyeHkM5Ivd3WTTt74HPa8EdXbUJP0I25eCrvTXwqkjBs79OmZnIrqUc+MjKP4ZkYbn/F9lVp6fXn128FADhtPHWbzfXn9eBDN2xFq9eBN1/Uj02dfryo9nU+pAa7S87kqhO/3vSV3+jT/zImzuRaLQKtOeU6hZncaDJ7npe7KhNJpOGxL/yBscWj1OSW65jQ4nXobcOUx42jjSVFRDXFd0oyVE+Z3HA8pc+PB7KDE7oCLvz2L67Fq3f3oTuo/Pys2lszmkgjnsoYZmTafE6kMhKz0dKN9zXDanZ4taaPbeny419/9wJ87g27VuXxyFxsVgse+dDV+PjNOzDQ7sFUJImZSBInJyIAgI1LLJnx5vSK/rEe5Jo3kwvk1+UWZnJzyy4myywijSbTFWVyW71KTe6keoUn6C7+cKzdRjMxn9DbjxFRbTDIJUP1VJMbjqexod2L89eGAGQHJwDZVmBdAWWbVrKgNXZvMajJbVPfmMYrKFk4q04g6w6uXqeDl57TiXUc6du0bFYLhBD6B6vjE2GMh+NwWC0IuJdWxrKu1YNbLxvAujaPPvVPqck1b5DbmRfkGtfk9gRdZTulRCusyT2vL4hEKoO/+OGz8Dis2GiwyLTF40AsmdEXvU2GE2jzMcglqiUGuWRIC3LroVduOJGCx2nFDTu64bBZDMsGutUgV8vkZoNco0yu8sZUyeKz4dkYHGozeKLVNKBO1xscD2N8LoF2n2PJQanNasFHb9qO1+3tw7GxMGaiSUQTadhNXE96Trdfn1YYTxV0V1DLFfpa3Hr21UilC89u2NGD7T0BnJ6K4p2XbzBcsKq9lmivLePz8bwrTES0+hjkkiE9yK2DHmLheApepw23XjaAu9/7EsPVzFqmVQtyp8s0atfq6Mq9OWrOzsTQzU4HVANrWz0QAjg+Hsb4fBxtVQiotKshB49P4ujY/JIXsq2G97/sHPzwDy8FAMRLZHLXtngwFU6WrK9XyhUWzn5bLAKfeM15uGlnD267YoPhbbT6/slwAolUBrOxlH5ViIhqg0u0yZBerpCuhyA3Da/DCpvVgv42j+FtPA4b/C4bRmZieGFkDncfHgFgXK7QrmZyxyvJ5KpBLtFqc9mt6A26MTgRxkQ4XjQFbCl2rlGC3G88fALpjMT5faFl3+dKsVst+gKwWGEmVw1y+1rcSKQz+MbDJ/DwsQlcsbkDb7iwX79dJJGCp8y0s1y71obwj2/aU/Ln+vjfSEKvA25luQJRTTHIJUPZYRB1EOQmUnkLZ0pZE3Lj5GQEf/3jQ3pDfaOFZy1eB4QARmZjRT8rdHYmht395g0EqLENtHv1coWt3UvrrJAr6LFjT39I7y27a625n9tal5HCTK628Ewbff03PzmMeCqDZ87MFgS5lS08q4RWrjAZTujDZNhdgai2WK5AhrILz8wd5EopEY6n9Nq8crZ2+/Hc2Tk8OzSrbzMKcu1WC7Z2B/B4zojOUo99lplcqqGBdi+OjSmZ3GrVf77hAiUI7Am60Bkw93PbpWZhi/rkJlNwWC16BwatxdjZ2Vhe6UK0qkGukrWdjiT1xW7tzOQS1RSDXDKUbSFm7iA3lswgI7PN7MvZ1hPA8Ewsr6WQNnu+0P4NrXjsxFTRgpZck+EEEukMekweCFDjOqfbj7l4Csm0rFpAdaPaX9rsWVxAueJkEcblCh6nNa+X7u7+EBKpDKbUevxEKoNURlZcrrCQoNsOIZTXhQktk8uFZ0Q1xSCXDGWHQZg7yA0nlFXUPufCb1S5jfLfdvE6/N7lAyVvu39DG2LJDJ46PVPyNlqPXGZyqVa25SwMq1Ym1+u04Vu/tx8fuWl7Ve5vJQkh4LJbDReeeezWvIVfl29qB6CUGAHZut1qZXJtao1wXk0uF54R1RSDXDJUL90VtAmvs6V0AAAUIklEQVRmlWRyc1eKv+/ac/DhG0u/iV800AohgIdfLD0S9ITagH9tq/FiN6KVdk5OHW4121Wd1xdclQl+1eCyWw0zuW6HVQ8yhQAu3qgGubNKb+tIsvLXjkpp439PTkaUvsUuLnshqqUFz0AhxN1lbndaSvmW6u4SmUH9BLnKm1slC886/S60+xxwWC0IGtTi5gp5HOjyu3ByMlLyNoMTYQCrN+2MqJDPacO6Ng9OTESadvCA02YpXniWSMHjsMHjsMJhs6An6ML6duXDqHYFRmszVkmf3Eq1eOx4/uwsTk1Gcd25XaYepkHUDCr5mPlJKeXdRj8QQtwshAgC+DYAK4AwgFuklAkhxFcBbAfwEynlx9XbF20jc6qXYRBauYK3gnIFALjxvB59CtpCPE4rIsnSNbnHx8Po9DsrCrCJVsrWbj9OTESadvCAksktLldwO6wQQqDD58TmTh86fE5YRHbqYbXLFQDgqq2d+PTPX4DNIvBn151TtfsloqWpxrvzmwF8Rkr5CyHEPwN4uRDCBsAqpbxYCPE1IcRmAOcVbpNSHqnC49MKqJ9MrhbkVvZU/qtX7aj4vr0OGyLq/RsZHA8zi0s1d9FAGx4dnGra+k+nzVLUXSGaSOsL8f72Neehw++ETe22oGVyo8nqZ3L/8KrNOH9tCNFEGuvb+dpAVGvLDnKllF/I+bYDwCiANwH4rrrt5wAuA7DbYFtRkCuEuA3AbQDQ399f+GNaJfUT5KrlClWsq9N4HFaEE6UzuYMTEVy1taPqj0u0GG+/ZD1uuWCtfs42G6fdqrcI00QSKXgcSnnCFVuy52h30K1PPVyJcgUAuHwzXxOIzKJqC8+EEBcDaJFSPgzAC+CM+qNJAF0lthWRUn5ZSrlPSrmvo4MvFrWidVcwfZC7yHKFxfA4rPolzUJzsSTG5+PM1lDNWS2iqUtmXCUyuUZlCD0BFwYnwogkUoiqrx1ue/P+7YgaXVWCXCFEK4DPA3iHumkegLY016c+jtE2MimbtU5aiGnlCiuRyXXa9CC6kNZZYYDlCkQ1pbQQyw9yw4m0YYb2pVs7cGoyihv/4QH812On4bJb0BtiC0CiRrXsQFMI4QDwPQAflFKeUDc/BqUcAQDOBzBYYhuZlNWiPDXMPgxCu+S4Epksr8OKSLw4k3t4eBZ//O3fwiKAc3uDVX9cIqqc02YpKlcolcm95YJ+/Mc7L8KZ6SjuPjyKWy8bQMjTnLXMRM2gGpHBrQD2APiwEOLDAP4ZwP8AOCCE6AVwPYD9AKTBNjKpehkGMR9PwW4VcNiqf2HA47AhUpDJfeDION7x7wcRdNvxjVsvQn8be+QS1ZLLbs0rV0ilM0ikMyWv7ly6qR2fff0ufPPhE3jXSzau1m4SUQ1UEuS+SwjxkRI/e0JK+SdQAts8QogrAVwL4FNSyplS28ic6mfhWWrF6hE9DisiiTSklHq/y688cAztXgfu+KPLmrZlE5GZuOwWnJmO4gv3HsW7rtiot/0rt6Dsxp09uHFnz2rtIhHVyILRgZTydUu5YynlFLLdFEpuI3OqnyA3vSL1uIBSApHKSCTSGThtVkyFE3jgyDjeefkGBrhEJuG0WZFMS3zqzuexe20L1qlXV6rZ/5aI6hOXlZKhuhkGEU+tSGcFAHDblfuNJtJw2qz40VNDSGUkbmIGiMg0XPZsqdIDR8cwHVHq5M/p8pf6FSJqEgxyyVA2k5tZ4Ja1I6XEc2dnMbBCbby04DmcSOP4+BQ+8dPD2N0fwrm9gRV5PCJavGQ6+0H8gSPjmIok4XPacP7aUA33iojMgEEuGbLpQW6Nd6SMF8fCGJyI4NbLN6zI/XvUMohIPIVP3fk8WjwOfPmt+ziPnshEnjw9DQDY0x/Cb09NY3gmhv0b2ioe301EjYuvAmTIUgeZ3LsPjwAArt7auSL3r2Vyh2ZieGRwEq/ZswYdftbiEpnJe6/Zgg3tXnzsVTvgslkxOhfHZZvaar1bRGQCzOSSIS2Ta+YWYve/MIZtPQH0htwL33gJtElIP3t6GOmMxDXbDIf0EVENXbGlA/f82ZUAgJ+/9wp8//HTeM3evtruFBGZAoNcMmRRL8mbeRjExHxCX0m9ErRM7h1PDqHd58T5fazxIzKzta0e/Mk1W2q9G0RkEixXIEP1kMmNJo1Hd1aLXpObSGN3f0gv4SAiIiLzY5BLhqxW8/fJjSTScK9Qj1wgv5n8ulZONiMiIqonDHLJkDbW18xBbjSR0nvZroTcIRPrVqhNGREREa0MBrlkyOzDIKSUK16u4GYml4iIqG4xyCVDepCbNmeQG09lkJErO7rTYcueHiu5wI2IiIiqj0EuGdLLFUyayY0m0gCwouUKuVaqTRkRERGtDAa5ZMhiERDCvDW50aQS5K5kuUIuTk8iIiKqL3znppJsFmHaIDeiZXJXKcglIiKi+sJhEFSSRZg3yI0lV6dc4Zu3XoSAm6cJERFRveG7N5VkswgkTbrwTMvkelawTy4AXLa5fUXvn4iIiFYGyxWoJIfNgmQ6U+vdMBRJpAAAbgefwkRERFSMEQKV5LRZEU+la70bhrLlCrwYQURERMUY5FJJTrsFiZRZM7mr212BiIiI6guDXCrJabMgbvIgl90ViIiIyAiDXCrJYeIgVy9XYJBLREREBhjkUklmrsmNrPLEMyIiIqovDHKpJKfNvDW50WQadqvgJDIiIiIyxAiBSjJzTW40kWYWl4iIiEpikEslOWwWxJPmDHIjidSKD4IgIiKi+sUgl0py2qxImHQYRDSZ4aIzIiIiKolBLpXktFkQT5pz4Vk0kWK5AhEREZXEIJdKMnMLsWgyzUwuERERlcQgl0pSWoiZM8iNJNKcdkZEREQlMcilksw81pfdFYiIiKgcBrlUktNmQSKdQSYja70rRcKJFMsViIiIqCQGuVSSw6Y8PczWYWE2lsTpqSg2tPtqvStERERkUgxyqSSnTcmUmq0u94mT05AS2Luupda7QkRERCbFIJdKcqqZ3HjKXG3EHj0xBYsAdvWHar0rREREZFIMcqkkPcg12dSzx09MYWt3AD4nJ54RERGRMQa5VJJDz+SaJ8iNJFJ4/OQU9q1nqQIRERGVxlQYlaTV5K52G7FnzszgOwdPYV2bB++4dAAWi9B/9pOnhhFJpHHTzt5V3SciIiKqLwxyqSSnvTY1uR//ySEcHJxCOiMRTaSxtSeAa7Z1QgiBbx88hQ3tXlzATC4RERGVwSCXSnLWoFzh+HgYDx+bxJ9dtwUHB6fw9794AQDw+TfuxtmZGB47MYWP3LgNQogF7omIiIiaGYNcKkkLclezXOE7B0/BIoDX7VuLN17Yjx89OYSvP3QCf/WjQxifj+OG87rxu5cOrNr+EBERUX1ikEslrXaf3HA8hW89chLXbu9CV8AFAPhflw7Aabfigz94GpdsbMNnb9kFq4VZXCIiIiqPQS6VtNp9cr9z8BRmokncdsXGvO2v29sHj8OKq7d16YE3ERERUTkMcqkkxyr2yY0kUvjifS/igvUtRZPMbFYLXrVrzYrvAxERETUOBrlUkt5CLL2yQe6BI2P43qOnMToXxz+9ec+KPhYRERE1Bwa5VFJ24tnKlSvEU2nc9vXHEE2m8bq9fbhgfeuKPRYRERE1Dwa5VFK2T65xJjeZzuD7j53GvvWt2NTpW9JjPDY4hWgyjS+8eQ+u39G95H0lIiIiysUgl0pyWMu3EPvJU8P4wA+eBgC8df86fOSmbYteGHb/kXHYLAJXbOlg71siIiKqGkutd4DMy2a1wGoRJTO59x8ZQ4vHjndcOoBvPHwC33v0dN7PHx2cxIEjYyXvX0qJ+18Yw951LfA5+XmLiIiIqoeRBZXltFkMW4hJKXHgyDgu29yBj960DXc8OYQnTk3jLfvX4SsHjuG+F8bwwFElS/vVt1+ADr8T23oCAIBYMo2P/fgQYsk0Dg3P4vZXbF/tfxYRERE1OAa5VJYS5OZnckfnYviX+49hbC6Oyze3QwiBHWsCeObMDMLxFD511/No8zrwlovW4c5nz+JtX3sEFgH817svwZ7+Fjz04gT+8zcnAQA37+rF2y9eX4N/GRERETUyBrlUlsNmKarJ/cHjZ/AvB46j1evAled0AAB29AZx4Mg47j48gkQqg79//fm4ZGM7Xr1nDR44Mo7vHDyF9333Sfz0f1+Oh49NwGG14Gd/cjkG2rywcIIZERERVRmDXCrLbbcinMgvVxidjcPntOHxj16rb9uxJoB0RuKffnUUAZdNbwW2p78Fe/pbsG99C970L7/BJ392GE+cmsautSFs7FhaRwYiIiKihXDhGZXVHXRhaDqat21sPo4OvzNv2441QQDACyPzuGprJ+zW/KfWJRvb8buXrse/P3QCT52Zwf4N7IdLREREK4eZXCprbYsH9xd0SBibi6HDlx/krgm58db96+B12nDbFRsM7+sD129FPJXBtx45iZdu7VyxfSYiIiJikEtl9bV4MDIbRzyV1nvgjs7Fsa07kHc7IQT++uYdZe/LabPiE68+Dx+6YRtbhhEREdGKYrkClbW21Q0AODOVLVkYmysuV1gMBrhERES00hjkUll9LR4AwGk1yI0l05iLpZYV5BIRERGtNAa5VJaWyT01FQGgZHEBMMglIiIiU2OQS2V1+l2wW4WeyR2bZ5BLRERE5scgl8qyWgR6Q26cmlQyuaOzapDrY5BLRERE5sUglxa0pcuPp8/MAMhmcjuZySUiIiITY5BLC7p4QxtOTERwaGgWP3t6GDaLQKvXUevdIiIiIiqJvZxoQZduagcA3PLlhxBNpPEXr9gOm5Wfj4iIiMi8GKnQgrZ0+dDuc2AulsLtrzwXb7t4fa13iYiIiKgsZnJpQUIIvGZPH14YmcObL+yv9e4QERERLYhBLlXkQzdsq/UuEBEREVVswSBXCHF3mdudllK+pbq7RERERES0PJVkcj8ppbzb6AdCiJtzvu4CcKeUcrf6/VcBbAfwEynlx0ttIyIiIiKqtmouPPs0ADcACCFeA8AqpbwYwAYhxGajbVV8bCIiIiIiXVWCXCHEVQDCAM6qm64E8F31658DuKzENiIiIiKiqlt2kCuEcAD4KIAP5Gz2Ajijfj0JoKvENqP7u00I8agQ4tGxsbHl7h4RERERNaFqZHI/AOALUsrpnG3zUEsXAPjUxzHaVkRK+WUp5T4p5b6Ojo4q7B4RERERNZtqBLnXAPgDIcS9AHYJIb4C4DFkyxHOBzBYYhsRERERUdUtu0+ulPIK7WshxL1SyncKIQIADgghegFcD2A/AGmwjYiIiIio6ioJct8lhPhIiZ89AeB/tG+klFeq/58VQlwJ4FoAn5JSzgCA0TYiIiIiompbMMiVUr5uKXcspZxCtptCyW1ERERERNVWzT65RERERESmwCCXiIiIiBoOg1wiIiIiajgMcomIiIio4TDIJSIiIqKGwyCXiIiIiBoOg1wiIiIiajgMcomIiIio4TDIJSIiIqKGwyCXiIiIiBoOg1wiIiIiajgMcomIiIio4QgpZa33oSQhxBiAMIDxWu8LLUo7eMzqCY9X/eExqy88XvWHx8zc1kkpOxa6kamDXAAQQjwqpdxX6/2gyvGY1Rcer/rDY1ZfeLzqD49ZY2C5AhERERE1HAa5RERERNRw6iHI/XKtd4AWjcesvvB41R8es/rC41V/eMwagOlrcomIiIiIFqseMrlERERERIvCIJeIyKSEEK1CiGuFEO213hcionpj6iBXCPFVIcRDQoiP1HpfqJgQoksIcUD92i6E+JEQ4kEhxDtKbaPaEEIEhRA/E0L8XAjx30IIh9H5xXPOPIQQLQB+DOBCAL8SQnTwmJmf+rr4W/VrHi8TE0LYhBAnhRD3qv+dJ4T4KyHEQSHEP+Xcrmgb1QfTBrlCiNcAsEopLwawQQixudb7RFnqG/C/A/Cqm/4IwGNSyksBvFYI4S+xjWrjzQA+I6W8DsBZAG9AwfnFc850dgL4Uynl3wC4C8BV4DGrB58G4DY6NjxeprMTwLeklFdKKa8E4ABwGZQPlqNCiGuEEHsLt9Vsb2nRTBvkArgSwHfVr38O5UlG5pEGcAuAWfX7K5E9XvcD2FdiG9WAlPILUspfqN92AHgLis+vKw22UY1IKe+TUj4shLgCyhvsy8BjZmpCiKugTOk8C+NjY7SNamc/gJuEEI8IIb4K4GoA35fKivy7AFwO4CUG26hOmDnI9QI4o349CaCrhvtCBaSUs1LKmZxNRseLx9BkhBAXA2gBcAo8XqYnhBBQPkxOAZDgMTMtIYQDwEcBfEDdxNdE8zsI4Bop5YUA7ADc4DFrKGYOcuehPOEAwAdz7ysZHy8eQxMRQrQC+DyAd4DHqy5IxR8AeArAJeAxM7MPAPiClHJa/Z7nmPk9JaUcVr9+FDxmDcfMB+sxZC/lnA9gsHa7QhUwOl48hiahZpm+B+CDUsoT4PEyPSHEnwsh3qZ+GwLwSfCYmdk1AP5ACHEvgF0AXgEeL7P7hhDifCGEFcDNULK2PGYNxLTDIIQQAQAHAPwSwPUA9hdcHicTEELcK6W8UgixDsBPAdwNJeO0H0Bf4TYpZbpmO9vEhBDvBvAJAE+qm/4VwJ8i5/yCcjmc55xJqIs7vwvACeAZAB+EUtvOY2ZyaqD7ShQcG/B4mYoQYgeA/wQgANwBpdzkAJSs7svV/04UbpNSHq/JDtOimTbIBfQX+WsB3C+lPFvr/aHyhBC9UD7x3qW9cBttI3MwOr94zpkbj1l94fGqP0IIN4AbATwupTxWahvVB1MHuURERERES2HmmlwiIiIioiVhkEtEREREDYdBLhERERE1HAa5RERERNRwGOQSERERUcP5/3kCq3oZkR5EAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制资金收益曲线（净收益）\n",
    "x = my_tm.getProfitCurve(stk.getDatetimeList(q), KQuery.DAY)\n",
    "#x = my_tm.getFundsCurve(stk.getDatetimeList(q), KQuery.DAY) #总资产曲线\n",
    "x = PRICELIST(x)\n",
    "x.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "帐户初始金额: 100000.00\n",
      "累计投入本金: 100000.00\n",
      "累计投入资产: 0.00\n",
      "累计借入现金: 0.00\n",
      "累计借入资产: 0.00\n",
      "累计红利: 0.00\n",
      "现金余额: 98258.95\n",
      "未平仓头寸净值: 2198.24\n",
      "当前总资产: 100457.19\n",
      "已平仓交易总成本: 0.00\n",
      "已平仓净利润总额: 0.00\n",
      "单笔交易最大占用现金比例%: 29.68\n",
      "交易平均占用现金比例%: 29.45\n",
      "已平仓帐户收益率%: 0.00\n",
      "帐户年复合收益率%: 0.22\n",
      "帐户平均年收益率%: 0.22\n",
      "赢利交易赢利总额: 0.00\n",
      "亏损交易亏损总额: 0.00\n",
      "已平仓交易总数: 0.00\n",
      "赢利交易数: 0.00\n",
      "亏损交易数: 0.00\n",
      "赢利交易比例%: 0.00\n",
      "赢利期望值: 0.00\n",
      "赢利交易平均赢利: 0.00\n",
      "亏损交易平均亏损: 0.00\n",
      "平均赢利/平均亏损比例: 0.00\n",
      "净赢利/亏损比例: 0.00\n",
      "最大单笔赢利: 0.00\n",
      "最大单笔亏损: 0.00\n",
      "赢利交易平均持仓时间: 0.00\n",
      "赢利交易最大持仓时间: 0.00\n",
      "亏损交易平均持仓时间: 0.00\n",
      "亏损交易最大持仓时间: 0.00\n",
      "空仓总时间: 762.00\n",
      "空仓时间/总时间%: 100.00\n",
      "平均空仓时间: 762.00\n",
      "最长空仓时间: 761.00\n",
      "最大连续赢利笔数: 0.00\n",
      "最大连续亏损笔数: 0.00\n",
      "最大连续赢利金额: 0.00\n",
      "最大连续亏损金额: 0.00\n",
      "R乘数期望值: 0.00\n",
      "交易机会频率/年: 0.00\n",
      "年度期望R乘数: 0.00\n",
      "赢利交易平均R乘数: 0.00\n",
      "亏损交易平均R乘数: 0.00\n",
      "最大单笔赢利R乘数: 0.00\n",
      "最大单笔亏损R乘数: 0.00\n",
      "最大连续赢利R乘数: 0.00\n",
      "最大连续亏损R乘数: 0.00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#回测统计\n",
    "per = Performance()\n",
    "print(per.report(my_tm, Datetime.now()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、或许想看下图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_sys.plot()\n",
    "MA(CLOSE(my_sys.getTO()), 20).plot(new=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、或许想看看所有股票的情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 14.5 s\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "def calTotal(blk, q):\n",
    "    per = Performance()\n",
    "    s_name = []\n",
    "    s_code = []\n",
    "    x = []\n",
    "    for stk in blk:\n",
    "        my_sys.run(stk, q)\n",
    "        per.statistics(my_tm, Datetime.now())\n",
    "        s_name.append(stk.name)\n",
    "        s_code.append(stk.market_code)\n",
    "        x.append(per.get(\"当前总资产\".encode('gb2312')))\n",
    "    return pd.DataFrame({'代码': s_code, '股票': s_name, '当前总资产': x})\n",
    "\n",
    "%time data = calTotal(blocka, q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>股票</th>\n",
       "      <th>当前总资产</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SZ000532</td>\n",
       "      <td>华金资本</td>\n",
       "      <td>101028.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SH601777</td>\n",
       "      <td>力帆股份</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SZ300238</td>\n",
       "      <td>冠昊生物</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH600781</td>\n",
       "      <td>辅仁药业</td>\n",
       "      <td>100082.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SH600770</td>\n",
       "      <td>综艺股份</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SH600671</td>\n",
       "      <td>天目药业</td>\n",
       "      <td>100298.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SZ002888</td>\n",
       "      <td>惠威科技</td>\n",
       "      <td>102349.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SH600086</td>\n",
       "      <td>东方金钰</td>\n",
       "      <td>98657.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SH603599</td>\n",
       "      <td>广信股份</td>\n",
       "      <td>99178.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SH600363</td>\n",
       "      <td>联创光电</td>\n",
       "      <td>99928.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         代码    股票      当前总资产\n",
       "0  SZ000532  华金资本  101028.21\n",
       "1  SH601777  力帆股份  100000.00\n",
       "2  SZ300238  冠昊生物  100000.00\n",
       "3  SH600781  辅仁药业  100082.54\n",
       "4  SH600770  综艺股份  100000.00\n",
       "5  SH600671  天目药业  100298.20\n",
       "6  SZ002888  惠威科技  102349.67\n",
       "7  SH600086  东方金钰   98657.58\n",
       "8  SH603599  广信股份   99178.59\n",
       "9  SH600363  联创光电   99928.59"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#保存到CSV文件\n",
    "#data.to_csv(sm.tmpdir() + '/统计.csv')\n",
    "data[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Trade(+infinity, , , UNKNOWN, 0.0000, 0.0000, 0.0000, 0.0000, 0, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, --)>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iodog.close()\n",
    "my_tm.buy(Datetime(201906160000), sm['sz000001'], 10, 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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